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`UNITED STATES PATENT AND TRADEMARK OFFICE
`__________________________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`__________________________________
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`COMMVAULT SYSTEMS, INC.,
`Petitioner,
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`v.
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`REALTIME DATA LLC,
`Patent Owner.
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`Case No. TBD
`U.S. Patent No. 7,415,530
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`DECLARATION OF PROFESSOR JAMES STORER, Ph.D.
`
`Commvault Ex. 1016
`Commvault v. Realtime
`US Patent No. 7,415,530
`
`
`
`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
`
`TABLE OF CONTENTS
`
`
`Page No.
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`I.
`
`II.
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`BACKGROUND AND QUALIFICATIONS ................................................. 1
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`INFORMATION AND MATERIALS CONSIDERED ................................. 5
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`III. APPLICABLE LEGAL STANDARDS .......................................................... 5
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`A.
`
`B.
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`Claim Construction ............................................................................... 6
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`Obviousness ........................................................................................... 7
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`IV. LEVEL OF ORDINARY SKILL .................................................................... 9
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`V. SUMMARY OF OPINIONS ......................................................................... 10
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`VI. OVERVIEW OF THE ’530 PATENT .......................................................... 10
`
`A.
`
`B.
`
`Brief Description ................................................................................. 10
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`Prosecution History Summary ............................................................ 15
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`VII. STATE OF THE ART AT THE TIME OF THE ’530 PATENT ................. 16
`
`A.
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`B.
`
`C.
`
`Background ......................................................................................... 16
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`Chu (Ex. 1004) .................................................................................... 17
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`Fox (Ex. 1005) ..................................................................................... 20
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`D. Wood (Ex. 1006) ................................................................................. 25
`
`E.
`
`F.
`
`Rynderman (Ex. 1012) ........................................................................ 26
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`Clark (Ex. 1013) .................................................................................. 27
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`VIII. ANALYSIS OF THE ’530 PATENT CLAIMS ............................................ 28
`
`A. Ground 1: Claims 1–5, 13–21, 23, and 25 are obvious over
`Chu in view of Fox .............................................................................. 28
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`1.
`
`Reasons to combine Chu and Fox ............................................. 29
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`-i-
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`TABLE OF CONTENTS
`(cont’d.)
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`Page No.
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`2.
`
`Claim 1 ...................................................................................... 33
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`a.
`
`b.
`
`“compression and storage occurs faster . . .”
`(Claim 1[g]) .................................................................... 33
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`Claim Chart ..................................................................... 40
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`Claim 2 ...................................................................................... 51
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`Claim 3 ...................................................................................... 51
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`Claim 4 ...................................................................................... 52
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`Claim 5 ...................................................................................... 52
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`Claim 13 .................................................................................... 54
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`Claim 14 .................................................................................... 54
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`Claim 15 .................................................................................... 55
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`3.
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`4.
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`5.
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`6.
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`7.
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`8.
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`9.
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`10. Claims 16 and 17....................................................................... 56
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`a.
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`b.
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`Parallel encoders (Claims 16 and 17) ............................. 56
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`Claim Charts ................................................................... 57
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`11. Claim 18 .................................................................................... 59
`
`12. Claim 19 .................................................................................... 59
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`a.
`
`b.
`
`“collection of multiple files” (Claim 19) ........................ 59
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`Claim Chart ..................................................................... 61
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`13. Claims 20 and 21....................................................................... 63
`
`a.
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`b.
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`“third” and “fourth data block” (Claims 20–21) ............ 63
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`Claim Charts ................................................................... 65
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`IPR Petition – U.S. Patent No. 7,415,530
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`TABLE OF CONTENTS
`(cont’d.)
`
`Page No.
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`14. Claim 23 .................................................................................... 67
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`a.
`
`b.
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`Video data limitation in Claim 23 .................................. 67
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`Claim Chart ..................................................................... 68
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`15. Claim 25 .................................................................................... 68
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`B.
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`Ground 2: Claims 6–12 are obvious over Chu in view of Fox and
`Wood ................................................................................................... 70
`
`1.
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`2.
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`3.
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`4.
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`5.
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`6.
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`7.
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`8.
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`Reasons to combine Chu, Fox, and Wood ................................ 70
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`Claim 6 ...................................................................................... 72
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`Claim 7 ...................................................................................... 73
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`Claim 8 ...................................................................................... 74
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`Claim 9 ...................................................................................... 74
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`Claim 10 .................................................................................... 75
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`Claim 11 .................................................................................... 76
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`Claim 12 .................................................................................... 76
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`C.
`
`Ground 3: Claims 22 and 26 are obvious over Chu in view of Fox
`and Rynderman .................................................................................... 77
`
`1.
`
`2.
`
`Reasons to combine Chu, Fox, and Rynderman ....................... 78
`
`Claim 22 .................................................................................... 79
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`a.
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`b.
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`“analog video data stream” (Claim 22) .......................... 79
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`Claim Chart ..................................................................... 80
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`3.
`
`Claim 26 .................................................................................... 81
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`TABLE OF CONTENTS
`(cont’d.)
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`Page No.
`
`a.
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`b.
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`adjusting the data rate (Claim 26) .................................. 81
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`Claim chart ...................................................................... 83
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`D. Ground 4: Claim 24 is obvious over Chu in view of Fox,
`Rynderman and Clark .......................................................................... 85
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`1.
`
`2.
`
`Reasons to combine Chu, Fox, Rynderman, and Clark ............ 86
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`Claim 24 .................................................................................... 90
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`IX. CONCLUSION .............................................................................................. 94
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`-iv-
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`I, Professor James Storer, declare and state as follows:
`
`I. BACKGROUND AND QUALIFICATIONS
`
`1.
`
`I have been retained by Commvault Systems, Inc. (“Petitioner”) to
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`provide expert opinions in connection with this proceeding. I have been asked by
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`counsel to review relevant materials and render my expert opinion in connection
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`with the petition for inter partes review of U.S. Patent No. 7,415,530 (“the ’530
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`patent”).
`
`2.
`
`I am a Professor at Brandeis University in the Computer Science
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`Department. I am an expert in the field of computer algorithms, including data
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`communications and network computing, data compression, data and image
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`retrieval, storage and processing of large data sets, and image/video processing. I
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`have studied, researched, and practiced in the field of computer science for more
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`than 35 years, and have taught Computer Science at Brandeis since 1981.
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`3.
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`I received my Doctor of Philosophy (Ph.D.) degree in the field of
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`Computer Science from Princeton University in 1979. I received my Masters of
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`Arts (M.A.) degree in Computer Science from Princeton University and my
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`Bachelor of Arts (B.A.) degree in Mathematics and Computer Science from
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`Cornell University.
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`IPR Petition – U.S. Patent No. 7,415,530
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`4.
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`After receiving my Ph.D. degree, I worked in industry as a researcher
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`at AT&T Bell Laboratories from 1979 to 1981 before joining the faculty of
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`Brandeis University.
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`5.
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`I have been involved in computer science research since 1976. My
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`research has been funded by a variety of governmental agencies, including the
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`National Science Foundation
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`(NSF), National Aeronautics and Space
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`Administration (NASA), and Defense Advanced Research Projects Agency
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`(DARPA). In addition, I have received government Small Business Innovation
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`Research (SBIR) funding, as well as numerous industrial grants.
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`6.
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`I regularly teach courses in software and hardware technology for data
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`compression and communications (including text, images, video, and audio) at
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`both the undergraduate and graduate level, and in my capacity as co-chair of the
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`annual Data Compression Conference, I regularly referee academic papers in these
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`areas. In addition, much of my consulting activity has been in the areas of
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`software and hardware
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`for consumer electronic devices,
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`including cell
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`phones/PDAs (including cellular technology), smartphones, digital cameras, digital
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`video and audio recorders, and personal computers, as well as devices for
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`communications over the Internet.
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`7.
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`I am the author of two books: An Introduction to Data Structures and
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`Algorithms and Data Compression: Methods and Theory. Both books have been
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`used as references for undergraduate
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`level computer science courses
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`in
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`universities. I am the editor or co-editor of four other books, including
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`Hyperspectral Data Compression and Image and Text Compression.
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`8.
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`I have three issued U.S. patents that relate to computer software and
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`hardware (two for which I am sole inventor and one for which I am co-inventor). I
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`am the author or co-author of well over 100 articles and conference papers.
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`9.
`
`In 1991, I founded the annual Institute of Electrical and Electronics
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`Engineers (IEEE) Data Compression Conference (DCC),
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`the first major
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`international conference devoted entirely to data compression, and have served as
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`the conference chair since then. This conference continues to be the world’s
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`premier venue devoted to data compression research and development.
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`10.
`
`I routinely serve as referee for papers submitted to journals such as,
`
`for example, JACM, SICOMP, Theoretical CS, Computer Journal, J. Algorithms,
`
`Signal Processing, JPDC, Acta Informatica, Algorithmica, IPL, IPM, Networks,
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`IEEE J. Robotics & Automation, IEEE Trans. Information Theory, IEEE Trans.
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`Computers, IEEE Trans. Image Processing, Proceedings of the IEEE, IBM J. of
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`R&D, and J. Computer and System Sciences.
`
`11.
`
`I have served as guest editor for a number of professional journals,
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`including Proceedings of the IEEE, Journal of Visual Communication and Image
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`Representation, and Information Processing and Management. I have served as a
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`-3-
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`program committee member for various conferences, including IEEE Data
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`Compression Conference, IEEE International Symposium on Information Theory,
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`Combinatorial Pattern Matching (CPM), International Conference on String
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`Processing and Information Retrieval (SPIRE), Conference on Information and
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`Knowledge Management (CIKM), Conference on Information Theory and
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`Statistical Learning (ITSL), Sequences and Combinatorial Algorithms on Words,
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`Dartmouth Institute for Advanced Graduate Studies Symposium (DAGS),
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`International Conference on Language and Automata Theory and Applications
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`(LATA), DIMACS Workshop on Data Compression
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`in Networks and
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`Applications, and Conference on Combinatorial Algorithms on Words.
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`12. A copy of my latest curriculum vitae (CV) is submitted with this
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`declaration as Ex. 1017.
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`13.
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`I am not an employee, consultant, or contractor of either party. I am
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`being compensated for my time in connection with developing and rendering
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`opinions in this matter at my customary rate of $785 per hour. My compensation
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`is in no way contingent on the results of this or any other proceeding relating to the
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`above-captioned patent.
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`14. Between now and any time that I may be asked to testify further, I
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`expect to continue my review, evaluation, and analysis of evidence presented
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`before and/or at the hearing. I expect to review any additional declarations and
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`other evidence submitted by Patent Owner. I reserve the right to amend or
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`supplement this declaration, as appropriate, after considering the opinions set forth
`
`by other experts. In the event that additional relevant information becomes
`
`available to me, I also reserve the right to review and consider that information in
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`further developing or refining my opinions.
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`II. INFORMATION AND MATERIALS CONSIDERED
`
`15.
`
`In order to render my opinions in this matter, I have carefully
`
`reviewed the specification and claims of the ’530 patent (Exs. 1001–1002). I have
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`also reviewed the following materials:
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`a. U.S. Patent No. 8,717,204
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`b. U.S. Patent No. 9,054,728
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`c. U.S. Patent No. 9,116,908
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`d. Exhibits 1001–1015, 1018–1022.
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`16. The above references are in addition to any other materials referenced
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`directly or indirectly in this declaration. I expect to review additional materials that
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`are provided by the parties as this proceeding progresses.
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`III. APPLICABLE LEGAL STANDARDS
`
`17.
`
`I am not an attorney. For the purposes of this declaration, I have been
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`informed about certain aspects of the law that are relevant to my opinions. My
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`understanding of the law is as follows:
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
`A. Claim Construction
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`18.
`
`I have been informed that claim construction is a matter of law and
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`that the final claim construction will ultimately be determined by the Board. For
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`the purposes of my patentability analysis in this proceeding and with respect to the
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`prior art, I have applied the broadest reasonable construction of the claim terms as
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`they would be understood by one skilled in the relevant art. I understand that in a
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`prior IPR, the Board has initially determined that no claim terms in the ’530 patent
`
`required construction. Ex. 1014 at 5.
`
`19.
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`I have been informed and understand that a claim in inter partes
`
`review is given the “broadest reasonable construction in light of the specification.”
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`37 C.F.R. § 42.100(b). I have also been informed and understand that any claim
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`term that lacks a definition in the specification is therefore also given a broad
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`interpretation.
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`20.
`
`I have been informed that, in an inter partes review, each claim of the
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`’530 patent is to be given its broadest reasonable interpretation in light of the
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`specification of the ’530 patent. This is the claim construction I applied in
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`rendering my opinions.
`
`21.
`
`I have been informed that the claim terms of the ’530 patent were
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`construed in prior litigation in the Eastern District of Texas. Exs. 1009, 1010. I
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`understand that Commvault was not a party to that litigation.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
`B. Obviousness
`
`22.
`
`I have been informed and understand that a patent claim can be
`
`considered to have been obvious to a person of ordinary skill in the art at the time
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`the application was filed. This means that, even if all of the requirements of a
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`claim are not found in a single prior art reference, the claim is not patentable if the
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`differences between the subject matter in the prior art and the subject matter in the
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`claim would have been obvious to a person of ordinary skill in the art at the time
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`the application was filed.
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`23.
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`I have been informed and understand that a determination of whether
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`a claim would have been obvious should be based upon several factors, including,
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`among others:
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`a. the level of ordinary skill in the art at the time the application
`
`was filed;
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`b. the scope and content of the prior art;
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`c. what differences, if any, existed between the claimed invention
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`and the prior art.
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`24.
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`I have been informed and understand that the teachings of two or
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`more references may be combined in the same way as disclosed in the claims, if
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`such a combination would have been obvious to one having ordinary skill in the
`
`art. In determining whether a combination based on either a single reference or
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`IPR Petition – U.S. Patent No. 7,415,530
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`multiple references would have been obvious, it is appropriate to consider, among
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`other factors:
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`a. whether the teachings of the prior art references disclose known
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`concepts combined in familiar ways, and when combined,
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`would yield predictable results;
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`b. whether a person of ordinary skill in the art could implement a
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`predictable variation, and would see the benefit of doing so;
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`c. whether the claimed elements represent one of a limited number
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`of known design choices, and would have a reasonable
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`expectation of success by those skilled in the art;
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`d. whether a person of ordinary skill would have recognized a
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`reason to combine known elements in the manner described in
`
`the claim;
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`e. whether there is some teaching or suggestion in the prior art to
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`make the modification or combination of elements claimed in
`
`the patent; and
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`f. whether the innovation applies a known technique that had been
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`used to improve a similar device or method in a similar way.
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`25.
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`I understand that one of ordinary skill in the art has ordinary
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`creativity, and is not an automaton.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`26.
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`I understand that in considering obviousness, it is important not to
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`determine obviousness using the benefit of hindsight derived from the patent being
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`considered.
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`27. Given this standard, the Board should conclude, based on the
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`information in this petition, that the challenged claims are merely a predictable
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`combination of old elements that are used according to their established functions.
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`IV. LEVEL OF ORDINARY SKILL
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`28.
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`It is my opinion that a person of ordinary skill in the art at the time the
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`’530 patent was effectively filed, is a person who has an undergraduate degree in
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`computer science and two years’ industry experience or a graduate degree in the
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`field of computer science.
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`29. Based on my experience, I have an understanding of the capabilities
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`of a person of ordinary skill in the relevant field. I have supervised and directed
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`many such persons over the course of my career. Further, I had at least those
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`capabilities myself at the time the patent was filed.
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`30. The analysis set forth herein evaluates obviousness consistent with the
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`foregoing principles and through the eyes of one of ordinary skill in the art at the
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`time of filing.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
`V. SUMMARY OF OPINIONS
`
`31.
`
`It is my opinion that claims 1–5, 13–21, 23, and 25 of the ’530 patent
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`are obvious over Chu in view of Fox under 35 U.S.C. § 103.
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`32.
`
`It is my opinion that claims 6–12 of the ’530 patent are obvious over
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`Chu in view of Fox and Wood under 35 U.S.C. § 103.
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`33.
`
`It is my opinion that claims 22 and 26 of the ’530 patent are obvious
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`over Chu in view of Fox and Rynderman under 35 U.S.C. § 103.
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`34.
`
`It is my opinion that claim 24 of the ’530 patent are obvious over Chu
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`in view of Fox, Rynderman, and Clark under 35 U.S.C. § 103.
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`VI. OVERVIEW OF THE ’530 PATENT
`
`A.
`
`Brief Description
`
`35. The ’530 patent, titled “Systems and Methods for Accelerated Data
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`Storage and Retrieval,” was filed on October 26, 2006. I understand that the ’530
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`patent claims priority to several U.S. patent applications, the earliest of which is
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`U.S. Application No. 09/266,394, which was filed on March 11, 1999 and issued
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`on July 29, 2003 as U.S. Patent No. 6,601,104.
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`36. The ’530 patent is directed to systems and methods for providing
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`“accelerated” data storage and retrieval (Ex. 1001 (‘530 Patent) at Abstract) and
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`allegedly teaches systems and methods for improving data storage and retrieval
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`IPR Petition – U.S. Patent No. 7,415,530
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`“bandwidth” by using lossless data compression and decompression (id. at 4:42–
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`44).
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`37. Figure 8 illustrates a detailed block diagram of a system for
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`accelerated data storage according to the ’530 patent’s preferred embodiment:
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`
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`38. As shown above, the claimed “data storage accelerator” (10) receives
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`an incoming “data stream” of “data blocks” and optionally stores the blocks in the
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`“input data buffer” (15) and sends the blocks to the “data block counter” (20),
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`where data blocks’ sizes are measured and recorded. See id. at 11:23–34. One of
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`ordinary skill in the art would understand that a buffer, such as the “input data
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`buffer” (15), is typically random access memory (RAM). The ’530 patent states
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`IPR Petition – U.S. Patent No. 7,415,530
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`that “the input buffer 15 and counter 20 are not required elements of the present
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`invention.” Id. at 11:33–34.
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`39. The ’530 patent explains that the data blocks received and compressed
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`by the “data storage accelerator” may range in size (also referred to in the art as
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`“length”) from “individual bits through complete files or collections of multiple
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`files,” and that they may be either fixed or variable in size. Id. at 11:26–30. The
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`“data block counter” “counts” or “otherwise enumerates the size” of the data
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`blocks in “any convenient units including bits, bytes, words, double words.” Id. at
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`11:30–33.
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`40. Data compression is performed by the “encoder module” (25). Id. at
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`11:40. This module may include any number of encoders (i.e., compression
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`engines represented in Figure 8 as “E1,” E2,” E3,” and “En”) that may use any
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`number of the lossless compression techniques “currently well known within the
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`art” such as “run length, Huffman, Lempel-Ziv Dictionary Compression,
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`arithmetic coding, data compaction, and data null suppression.” Id. at 11:40–46;
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`see also id. at 12:41–46. The ’530 patent discloses that the compression techniques
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`may be selected based upon their “ability to effectively encode different types of
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`input data” (id. at 11:47–48), that more than one encoder may use the same
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`compression technique (id. at 12:41–46), and the compression process may be
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`performed in parallel or sequentially (id. at 11:62–64). In other words, using the
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`IPR Petition – U.S. Patent No. 7,415,530
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`compression process described in the ’530 patent, either the same or different data
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`blocks may be compressed by different encoders simultaneously (in parallel), or
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`the same or different data blocks may be compressed by different encoders
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`sequentially, one block at a time.
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`41. After a data block is compressed by the “encoder module,” it may be
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`buffered and its newly compressed size may be measured or “counted” by the
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`“buffer/counter module” (30). Id. at 12:14–16. Next, the “compression ratio
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`module” (35) determines the “compression ratio” obtained for each of the encoders
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`by calculating the ratio of the size of the uncompressed data block to the size of the
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`compressed block. Id. at 12:20–25. If, for example, a single data block is
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`compressed by several different encoders E1 . . . En, each using a different
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`compression technique, the “compression ratio module” may also compare each
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`calculated ratio with an “a priori-specified compression ratio threshold limit” to
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`determine if at least one of the compressed blocks were compressed at an equal or
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`greater ratio. See id. at 12:25–30. If at least one of the compressed blocks was
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`compressed at an equal or greater ratio, then the block compressed with the highest
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`ratio is transmitted/stored. Id. at 12:46–49. If none of the compressed blocks were
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`compressed at an equal or greater ratio, then the uncompressed block is
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`transmitted/stored. Id. at 12:49–53.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`42. Before the uncompressed or compressed block is transmitted/stored,
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`the “description module” or “compression type description” module (38)
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`“appends” a descriptor to the block indicating, for a compressed block, the
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`compression technique that was used, or else a “null” descriptor indicating that the
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`block was not compressed. Id. at 12:33–59. The block, with its appended
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`descriptor, is then transmitted/stored, and the descriptor is used for “subsequent
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`data processing, storage, or transmittal.” Id.
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`43. The ’530 patent describes that “accelerated data storage and retrieval”
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`is achieved “by utilizing lossless data compression and decompression.” Id. at
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`2:58–60. For example, data storage can be “accelerated” by compressing an input
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`data stream at a compression ratio (e.g., 3:1) that is at least equal to the ratio of the
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`input data transmission rate (e.g., 60 megabytes per second) to the data storage rate
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`(e.g., 20 megabytes per second) “so as to provide continuous storage of the input
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`data stream at the input data transmission rate.” Id. at 3:13–18; see also id. at 5:29–
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`43. By compressing the data at this compression ratio, 60 megabytes worth of
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`compressed data can be stored per second, even though the target storage device is
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`capable of storing only 20 megabytes per second, thus “accelerating” the storage of
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`data.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
`B.
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`Prosecution History Summary
`
`44.
`
`I understand that after the ’530 patent was filed on October 26, 2006,
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`the examiner initially rejected the claims for indefiniteness and double patenting.
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`Ex. 1007 at 555–56 (June. 29, 2007 Office Action). The Applicant argued over the
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`rejections (Ex. 1007 at 583–88) and the examiner allowed the claims. The
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`examiner did not reject the claims over any prior art references. See generally
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`Ex. 1007. The Applicant subsequently corrected the patent. Ex. 1001 (‘530
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`Patent) at Certificate of Correction.
`
`45.
`
`I understand that the ’530 patent has undergone one reexamination,
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`Reexamination No. 95/001,927 (“the ’927 reexamination”), filed on March 2,
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`2012. I also understand that the examiner found independent Claims 1 and 24
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`patentable. Ex. 1015 at 183–185 (Right of Appeal Notice, May 31, 2013). I have
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`been informed that the examiner found that the primary references relied upon by
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`the third party requester, U.S. Patent Nos. 4,956,808 to Aakre, 4,593,324 to
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`Ohkubo, and 5,150,430 to Chu (“Chu ’430”)1, did not disclose the following
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`limitation: “said compression and storage occurs faster than said data stream is
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`able to be stored on said memory device in said received form.” Id. at 183–85. I
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`1 I understand that Chu ’430 is a different patent than the Chu patent (U.S. Patent
`
`No. 5,467,087) that I discuss later in this declaration.
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`have also been informed that while the examiner found that the references before
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`him did disclose “fast” compression and storage systems, he concluded that none
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`specified that those systems compressed and stored faster than storage of the
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`uncompressed stream could otherwise occur. See id. at 183–86.
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`VII. STATE OF THE ART AT THE TIME OF THE ’530 PATENT
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`46. Compressing data blocks of a data stream with different compression
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`techniques in order to compress and store the compressed data faster than in
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`uncompressed form has been known in the field, as described in detail below.
`
`A.
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`Background
`
`47.
`
` Using multiple
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`compression
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`techniques
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`to
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`accelerate
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`the
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`transmission/storage of data has been one of the primary applications of
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`compression since compression was first used in the 1950s and 1960s, and
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`continues today, as described in more detail below. See generally D. Huffman, “A
`
`Method for the Construction of Minimum-Redundancy Codes,” Proceedings of the
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`IRE 40, 1098–1101 (1952); U.S. Patent No. 3,394,352 (“Wernikoff”); J. Ziv and
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`A. Lempel, “A Universal Algorithm for Sequential Data Compression,” IEEE
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`Transactions on Information Theory 23:3, 337–343 (1977); J. Ziv and A. Lempel,
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`“Compression of Individual Sequences Via Variable-Rate Coding,” IEEE
`
`Transactions on Information Theory (1978). Use of multiple compression
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`techniques is illustrated in Figure 1A of the Wernikoff patent, reproduced below:
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`In addition, rate control (adjusting system parameters to accommodate bandwidths)
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`was well known in the art, and including in established standards (e.g., MPEG
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`
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`video compression standard).
`
`B. Chu (Ex. 1004)
`
`48.
`
`I understand that U.S. Patent No. 5,467,087 (“Chu,” Ex. 1004) issued
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`on November 14, 1995. I understand that Chu is prior art to the ’530 patent. In my
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`opinion, Chu is analogous art to the claimed invention. Chu is from the same field
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`of endeavor as the ’530 Patent because, like the ’530 Patent, it concerned data
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`compression techniques.
`
`49. Chu discloses a “data compression process and system that identifies
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`the data type of an input data stream and then selects in response to the identified
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`data type at least one data compression method from a set of data compression
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`methods.” Ex. 1004 (Chu) at Abstract. Chu describes its system as “high speed
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`Commvault Systems v. Realtime Data
`IPR Petition – U.S. Patent No. 7,415,530
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`lossless data compression.” Id. at Title. Chu teaches that its system chooses the
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`best compression ratio based on the data type in order to maximize compression.
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`For example, Chu states:
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`Because each data compression technique typically provides a
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`different compression ratio for different data types, prior art
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`compression systems are unable to maximize the data compression
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`ratio when encountering a variety of input data types in the input data
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`stream. There is therefore a need to provide an efficient and flexible
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`data compression system that maximizes the data compression ratios
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`according to the input data type detected.
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`Id. at 3:48–56. Chu’s “[d]ata compression system 40 receives an input
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`uncompressed data stream 10 and processes data stream 10 through a first data
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`compression phase 42 using a first predefined data compression technique.
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`Alternatively, prior art data compression system 40 may also provide a second data
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`compression phase 44 using a second data compression technique also predefined
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`by the design of data compression system 40.” Id. at 3:37–45. Chu selects the
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`compression phases “in accordance with the data type.” Id. at 6:8–13. Chu uses
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`Lempel-Ziv dictionary compression and Huffman encoding, among other data
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`compression techniques. Id. at 6:40–47.
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`IPR Petition – U.S. Patent No. 7,415,530
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`50. After the data-type is identified, Chu also “encodes [the] data type
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`information in any known standard used in the industry as means for denot