JON B WEISSMAN
`
`CURRICULUM VITAE
`May 22, 2023
`
`Work Address:
`Department of Computer Science and Engineering
`University of Minnesota
`4-192 Keller Hall, 200 Union Street SE
`Minneapolis, MN 55455-0159
`
`EDUCATION
`
`Ph.D., Computer Science, University of Virginia, 1995.
`
`M.S., Computer Science, University of Virginia, 1989.
`
`Phone: (612) 626-0044
`Fax: (612) 625-0572
`Email: jon@cs.umn.edu
`URL: http://www.cs.umn.edu/~jon
`
`B.S., Applied Mathematics and Computer Science, Carnegie-Mellon University, 1984.
`
`PROFESSIONAL EXPERIENCE
`Professor, Computer Science
`Associate Professor, Computer Science
`Visiting Researcher and Distinguished Visitor
`Assistant Professor, Computer Science
`Assistant Professor, Computer Science
`Member of Technical Staff
`Software Engineer
`
`PROFESSIONAL ACTIVITIES
`
`Univ. of Minnesota (Summer 2012 to date)
`Univ. of Minnesota (Fall 2003 to Spring 2012)
`National e-Science Center, University of Edinburgh (2007-2008)
`Univ. of Minnesota (1999-2003)
`Univ. of Texas San Antonio (1995-1999)
`Mitre Corporation, McLean Virginia (1989-1991)
`Software A&E, Arlington Virginia (1984-1987)
`
`Tau Beta Engineering Honor Society, Member ACM, IEEE Senior Member
`
`ACADEMIC AWARDS AND HONORS
`
`ˆ George W. Taylor Distinguished Teaching Award 2022.
`
`ˆ Best paper nominee, IEEE International Conference on Cloud Engineering (IC2E) 2015.
`
`ˆ Best paper, IEEE Grid conference, 2009.
`
`ˆ Honorary Fellow, College of Science and Engineering, University of Edinburgh, 2007-2008.
`
`ˆ IEEE Senior Member, promoted 2003.
`
`ˆ Success Story, ARL HPC (HPCMO), Virtual Data Grid Project, 2002.
`
`ˆ CAREER Award, National Science Foundation, 1996.
`
`ˆ Supercomputing Award for “High-Performance Computing with Legion”, SC, 1995.
`
`ˆ Teaching Award, University of Virginia Teaching Medal of Excellence, 1995.
`
`1
`
`Amazon.com Exhibit 1003 - Page 1
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`CONSULTING HISTORY
`
`ˆ Cisco, Edge Computing, 2022.
`
`ˆ Instrumental Inc, Cloud computing, 2011.
`
`ˆ Beckman Coulter Inc, scheduling automation software, 2009-10.
`
`ˆ ApeniMED, health informatics software development, 2006.
`
`ˆ Avaki Inc. (now part of Oracle), Grid computing, 1999.
`
`LEGAL SUPPORT EXPERIENCE
`
`Testifying Expert
`
`ˆ client: Fisch Sigler LLP, case: Juniper Networks Inc. v. Swarm technology LLC, area: parallel processing,
`project: IPR declarations and ex-parte rexaminations, 4 depositions, represented: petitioner, status: finished,
`2023.
`
`ˆ client: Quinn Emmanuel LLC, case: Juniper Networks Inc. v. WSOU INVESTMENTS, LLC D/B/A BRAZOS
`LICENSING AND DEVELOPMENT, area: networking, project: IPR, deposition, represented: petitioner,
`status: finished, 2023.
`
`ˆ client: Klarquist, case: LS CLOUD STORAGE TECHNOLOGIES, LLC, INC., vs. Microsoft, area: data
`management, project: IPR declaration, represented: defense, status: finished, 2023.
`
`ˆ client: Skadden, Arps, Slate, Meagher & Flom LLP, and Keystone, case: Carbonite, Securities Class Action,
`area: backup/restore, project: testifying expert and report, represented: defense, deposition, status: on-going.
`
`ˆ client: Quinn Emanuel Urquhart & Sullivan UK LLP, Keystone, case: IBM UNITED KINGDOM LIMITED
`vs. LZLABS GmbH, WINSOPIA LIMITED, LZLABS UK LIMITED, Intellectual Property and license dispute,
`area: IBM mainframe runtime, project: patent analysis, represented: claimant, status: on-going.
`
`ˆ client: Quinn Emanuel Urquhart & Sullivan LLP, case: WSOU INVESTMENTS, LLC d/b/a BRAZOS LI-
`CENSING AND DEVELOPMENT, vs. SALESFORCE.COM, INC., area: Internet services, project: testifying
`expert and report, represented: defense, status: on-going.
`
`ˆ client: Marton Ribera Schumann & Chang LLP, case: Zoho Corporation vs. BCS Software, LLC, area: file
`sharing, project: patent analysis, represented: defense, status: finished.
`
`ˆ client: Jones Day, case: Commvault v. Cohesity, area: data deduplication, project: patent analysis, repre-
`sented: defense, status: finished.
`
`ˆ client: DLA Piper LLP, case: Intellectual Ventures Co et al. v. Hewlett-packard, area: archival file systems,
`project: Ex-Parte Reexamination declaration, represented: defense, status: finished, 2021.
`
`ˆ client: ROPES & GRAY LLP, case: PALO ALTO NETWORKS, INC. v. CENTRIPETAL NETWORKS,
`INC., area: networking, project: IPR declaration, represented: petitioner, status: finished, 2021.
`
`ˆ client: Quinn Emmanuel LLC, case: Juniper Networks Inc. v. WSOU INVESTMENTS, LLC D/B/A BRAZOS
`LICENSING AND DEVELOPMENT, area: networking, project: IPR declaration, deposition, represented:
`petitioner, status: finished, 2022.
`
`ˆ client: Unified Patents, LLC, area: virtualization, project: IPR declaration, represented: petitioner, status:
`finished, 2021.
`
`ˆ client: Klarquist, case: TERADATA US, INC., v. SAP SE, area: data management, represented: defense,
`status: finished, 2021.
`
`ˆ client: case: VEEAM SOFTWARE CORP., v. HYBIR INC., area: data backup, project: IPR declaration,
`deposition, represented: patent owner, status: finished, 2021.
`
`2
`
`Amazon.com Exhibit 1003 - Page 2
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`ˆ client: Farella Braun + Martel LLP, case: Synkloud Technologies LLC vs. Adobe, area: storage, Web: IPR
`declaration + litigation, represented: petitioner, status: finished, 2021.
`
`ˆ client: Lee Sullivan Shea & Smith LLP and Orrick, case: Sonos vs. Google Inc., area: network audio, project:
`validity expert, represented: plaintiff, claim construction deposition, testifying ITC court, status: finished,
`2021.
`
`ˆ client: Marton Ribera Schumann& Chang LLP, case: Zoho Corporation vs. Sentius International, LLC, area:
`web databases, project: patent analysis, expert reports, represented: defense, claim construction tutorial
`to district court, status: stay, 2021.
`
`ˆ client: Kilpatrick Townsend & Stockton LLP, FACEBOOK, INC. vs. BCS SOFTWARE, LLC, area:
`monitoring, project: IPR declaration, represented: petitioner, status: finished, 2020.
`
`IT
`
`ˆ client: Fisch Sigler LLP, case: Packet Intelligence vs. Juniper Networks and Palo Alto Networks, area: net-
`working, project: IPR declaration, represented: petitioner, status: finished, 2020.
`
`ˆ client: DLA Piper LLP, case: TMI Solutions, LLC vs. CVS, Officemax, Home Depot Product Authority LLC,
`area: security, network services, project: IPR declaration, represented: petitioner, status: finished, 2020.
`
`ˆ client: Reed Smith LLP, case: Uniloc vs. Paychex, area: distributed applications, project: prior art analysis,
`represented: defense, status: finished, 2020.
`
`ˆ client: Orrick, case: SecureWave vs. Micron Technology, Inc., area: security, project: claim construction,
`represented defense, status: finished, 2019.
`
`ˆ client: Fenwick & West LLP, case: PersonalWeb vs. Amazon, area: cloud, data storage, project: patent
`analysis, expert reports, represented: defense, status: settled, 2019.
`
`ˆ client: Jenner & Block LLP, case: Kove IO, Inc., vs. Amazon Web Service, area: cloud, data storage, project:
`patent analysis, IPR declaration, represented: defense, status: finished.
`
`ˆ client Cooley LLP, case: Zak Inc vs. Facebook, area: web, project: patent analysis, expert reports, represented:
`defense, status: active.
`
`ˆ client Cooley LLP, case: Blackberry Inc vs. Facebook, area: mobile computing, project: patent analysis, expert
`reports,deposition, represented: defense, status: active.
`
`ˆ client: Faegre Baker Daniels LLP, case: ICN Acquisition, LLC vs. ipDataTel, LLC, area: home alarm systems
`and networks, IPR declarations, represented: petitioner, deposition, status: settled prior to trial, 2019.
`
`ˆ client: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP, case: KOM Software Inc. vs. NetApp, Inc. and HP,
`area: Distributed file systems, 5 IPR declaration, represented: petitioner, status: finished, 2019.
`
`ˆ client: Cooley LLP, case: Vaporstream Inc vs. Snapchat Inc, area: mobile computing, project: patent analysis,
`expert reports, deposition, represented: defense, status: stay, 2018.
`
`ˆ client: Fenwick & West LLP, case: IBM vs. Groupon, area: security, web, client-server, project: patent analysis,
`expert reports, deposition, testifying district court, represented: defense, status: finished, 2017-2018.
`
`ˆ client: DLA Piper LLP, Workspot, Inc. vs. Citrix Systems, INC., area: security, IPR declaration, deposition,
`represented: petitioner, status: active.
`
`ˆ client: Keker, Van Nest & Peters LLP, BMC Software, INC., vs. Cherwell Software, LLC, area: software
`systems, IPR declaration, represented: petitioner, status: active.
`
`ˆ client: Cooley LLP, case: Sound View Inc vs. Facebook, area: databases, web, project: patent analysis, expert
`reports, deposition, represented: defense, status: settled, 2018.
`
`ˆ client: Fenwick & West LLP, case: IBM vs. Groupon, area: security, IPR declaration, represented: patent
`owner, status: finished, 2017.
`
`3
`
`Amazon.com Exhibit 1003 - Page 3
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`ˆ client: Knobbe Martens, case: Ancora vs. HTC, area: security, CBM declaration, deposition on claim con-
`struction 2019, represented: petitioner, status: finished, 2017.
`
`ˆ client: Fisch Sigler LLP, case: Broadcom vs. Amazon, area: multimedia, IPR declarations, represented:
`petitioner, status: finished, 2017. No associated litigation.
`
`ˆ client: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP, area: Internet applications, IPR declaration,
`represented: petitioner, status: finished, 2017. No associated litigation.
`
`ˆ client: McDonnell Boehnen Hulbert & Berghoff LLP, case: Trading Technologies Inc., area: distributed sys-
`tems, project: Patent Examination, declaration, represented: patent owner, status: finished, examiner inter-
`view, 2016.
`
`ˆ client: Fenwick & West LLP, case: Actifio vs. Delphix, area: cloud storage, project: patent analysis, expert
`reports, represented: defense, status: finished (settled prior to trial), 2016.
`
`ˆ client: Fisch Sigler LLP, case: Kaavo vs. Amazon and Tier3, area: cloud computing, IPR declarations, depo-
`sition, represented: petitioner, status: finished, 2016.
`
`ˆ client: Morrison and Foerster LLP, case: Ancora vs. Apple Inc, area: security, CBM declaration, represented:
`petitioner, status: finished (settled prior to trial), 2016.
`
`ˆ client: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP, area: mobile computer systems, 3 IPR decla-
`rations, represented: petitioner, status: finished, 2016. No associated litigation.
`
`ˆ client: Cooley LLP, case: BMC Inc vs. ServiceNow Inc, area: computer systems, project: patent analysis,
`expert reports, deposition, represented: defense, status: finished (settled prior to trial), 2016.
`
`ˆ client: Fish & Richardson P.C., case: Ericsson Inc vs. Apple Inc, area: mobile systems, project: patent
`analysis, represented: defense, status: finished, 2015.
`
`ˆ client: Morrison and Foerster LLP, case: Good Technology Inc vs. Airwatch Inc, area: mobile systems, project:
`patent analysis, 3 expert reports, deposition, represented: defense, status: finished (settled prior to trial), 2015.
`
`ˆ client: Troutman Sanders, Intellectual Ventures I LLC vs. Capitol One Financial Corp, claim construction
`declarations, area: mobile interfaces, represented: defense, status: finished, 2015.
`
`ˆ client: Bryan Cave LLP, case: Symantec vs. Veeam Software Corporation, area: storage systems, IPR decla-
`ration, deposition, represented: patent owner, status: finished, 2014.
`
`ˆ client: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP, case: Clouding IP vs. Rackspace, area: storage
`systems, project: patent analysis, IPR and CBM declarations, two depositions, represented: petitioner, status:
`finished, 2014.
`
`ˆ client: Sidley Austin LLP, case: Motorola vs. Microsoft, area: mobile instant messaging, project: software
`patent analysis, expert reports, deposition, represented: defense, status: finished (settled prior to trial), 2011-
`2012.
`
`ˆ client: Baker & McKenzie LLP, case: WMR e-PIN vs. Wells Fargo, area: Internet e-commerce applications,
`project: software, patent analysis, expert reports, deposition, testifying 3 judge panel, represented: defense,
`status: closed, 2008-2009.
`
`Consulting Expert
`
`ˆ client: William G. Osborne, Esq., Superior Edge vs. Monsanto, area: distributed software, project: code
`analysis, report, represented: plaintiff, status: closed, 2015.
`
`ˆ client: Arnold & Porter LLP, Rosebud v. Adobe, area: distributed software, project: patent analysis, repre-
`sented: defense, status: closed, 2015.
`
`ˆ client: Jones Day, Summit 6 vs. Apple, area: web technologies, project: patent analysis, represented: defense,
`status: closed, 2014.
`
`4
`
`Amazon.com Exhibit 1003 - Page 4
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`ˆ client: Ropes & Gray LLP, case: Parallel Iron vs. EMC, area: storage systems, project: patent analysis,
`represented: defense, status: closed, 2012-2013.
`
`ˆ client: Bridges & Mavrakakis LLP, case: Nokia/HTC vs. Apple, area: operating systems, project: software,
`patent analysis, represented: defense, status: closed, 2011.
`
`5
`
`Amazon.com Exhibit 1003 - Page 5
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`Professional references
`
`ˆ Jim Day (Farella Braun + Martel): https://www.fbm.com/james-l-day
`
`ˆ Andrew Mace (Cooley): www.cooley.com/people/andrew-mace
`
`ˆ Larissa Bifano: (DLA Piper): www.dlapiper.com/en/us/people/b/bifano-larissa/
`
`ˆ Timothy Sullivan: (Faegre Baker Daniels LLP): www.faegrebd.com/en/professionals/s/sullivan-timothy-m
`
`ˆ Phil Haack: (Martin Ribera Schumann LLP): https://www.martonribera.com/haack
`
`ˆ Diek Van Nort (Morrison & Foerster LLP): www.mofo.com/people/v/van-nort-diek-o
`
`ˆ Joshua Goldberg (Finnegan LLP): http://www.finnegan.com/
`
`6
`
`Amazon.com Exhibit 1003 - Page 6
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`MAJOR RESEARCH AFFILIATIONS
`
`1. Distributed Computing Systems Group, University of Minnesota, Founder and Co-Director..
`The Distributed Computing Systems Group (DCSG) is collection of faculty and students working on topics in
`parallel and distributed computing, Internet/Web, mobile, cloud, edge, IoT, big data and machine learning.
`Cross-cutting topics include storage, networking, operating systems/middleware, security, and applications.
`Research centers on system building with a focus on resource management, efficiency, reliability, and enabling
`newly emerging applications.
`
`2. Digital Technology Center, University of Minnesota, Investigator. The Digital Technology Center
`(DTC)’s goal is to create, promote, and coordinate cooperative interdisciplinary advanced technology initiatives
`between University, government, industry, and to serve as a point of entry into research and development
`partnerships with various partners. The DTC is a hub of innovation and excellence at the University of
`Minnesota in the digital technologies serving the industrial, educational, and public needs of the state of
`Minnesota and the nation. The DTC integrates research, education, and outreach in digital design, computer
`graphics and visualization, telecommunications, intelligent data storage and retrieval systems, multimedia,
`datamining, scientific computation, and other digital technologies. See dcsg.cs.umn.edu for details.
`
`3. CRIS:Center for Research in Intelligent Storage, University of Minnesota, Investigator. The
`Center for Research in Intelligent Storage (CRIS) is a partnership between universities and industry, featuring
`high-quality, industrially relevant fundamental research, strong industrial support of collaboration in research
`and education, and direct transfer of university developed ideas, research results, and technology to U.S.
`industry. Research areas include storage and memory technologies, big data, cloud computing, backup/restore,
`data deduplication, and file systems. See cris.cs.umn.edu.
`
`7
`
`Amazon.com Exhibit 1003 - Page 7
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`GRANT FUNDING
`
`1. Joint Principal Investigator, Edge Computing, Cisco, 2022-2023, $165K (with Chandra).
`
`2. Principal Investigator, CNS Core: Small: Scaling the IoT with Constellation, NSF, 2019-2022, $500K (PI
`Chandra).
`
`3. Co-Principal Investigator, I/UCRC Phase II: Center on Intelligent Storage, NSF, 2016-2019, $895,516 (PI
`Du, Co-PIs Chandra, Lilja, Mokbel).
`
`4. Co-Principal Investigator, CSR: Small: Location, location, location (L3): Support for Geo-Centric Appli-
`cations, NSF, 2016-2019, $528K (PI Chandra).
`
`5. Co-Principal Investigator, II-NEW: One Cloud Does Not Fit All: Minnesota Integrated cloud Systems
`research Testbed (MIST), NSF, 2013-2016, $350K, (PI DU, co-PIs Chandra, Zhang).
`
`6. Principal Investigator, An Integrated Middleware Framework to Enable Extreme Collaborative Science,
`DOE, 2012-2015, $342K UMn share, collaborative with Rutgers and University of Chicago.
`
`7. Principal Investigator, CSR: Medium: Enriching Mobile User Experience Through The Cloud, NSF, 2012-
`2015, $700K (co-PI Chandra, Karypis).
`
`8. Principal Investigator, DC: Small: One Thousand Points of Light: Accelerating Data-Intensive Applications
`By Proxy, NSF, 2009-2012, $482K, including REU supplement $36K (co-PI Chandra).
`
`9. Co-Investigator, Collaborative Research: A Multi-University I/UCRC Center on Intelligent Storage, NSF,
`2009-2014, $400K, (DU PI, many co-PIs).
`
`10. Principal Investigator, Grid Computing for E-Science, National E-Science Centre, University of Edinburgh,
`2007-2008, $52K.
`
`11. Co-Investigator, ePCRN: Electronic Primary Care Research Network, NIH Roadmap, 2006-2008, $50K (CSE
`share annual), (Peterson PI, Delaney PI, several co-investigators).
`
`12. Co-Principal Investigator, ITR: A Data Mining and Exploration Middleware for Grid and Distributed
`Computing, NSF ITR, 2003-2007, $1.5M, (Kumar PI, Weissman co-PI).
`
`13. Investigator, Intelligent Storage Consortium, DTC, 2003-2009, $250K (Du PI, Weissman, Lilja, Tewfik, Kim
`co-PIs).
`
`14. Investigator, MRI: Development of a System for Interactive Analysis and Visualization of Multi-Terabyte
`Datasets, NSF MRI, 2004-2006, $300K (Woodward PI).
`
`15. Contributor, NIH NCRR, Intelligent Data Storage Support for Microarray data, equipment, (Mayo Clinic
`PI, with Du), 2004, $222K.
`
`16. Co-Principal Investigator, Intelligent Storage Consortium - Engenio, Engenio Information Technologies,
`2004-2005, $45K, (Du PI, Weissman co-PI).
`
`17. Principal Investigator, Making Parallel Computing Easy, Department of Energy (Office of Advanced Scien-
`tific Computing Research), 2002-2007, $250K, sole PI.
`
`18. Principal Investigator, A Framework for Adaptive Grid Services, NSF ACR-CNS, 2003-2008, $240K, sole
`PI.
`
`19. Principal Investigator, Towards Community Services: Putting Parallel Network Services On-line, NSF EIA-
`NGS Program, 2002-2003, $30K, sole PI.
`
`20. Co-Principal Investigator, Collaborative Data Analysis and Visualization, NSF EIA Research Resources
`(Collaborative Research), 2002-2005, $500K (incl. 2 RA’s shared with Du), (Woodward PI, Weissman, Du,
`Retzel, Wetherby co-PIs.)
`
`8
`
`Amazon.com Exhibit 1003 - Page 8
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`21. Investigator, Metacomputing: Enabling Technologies and the Virtual Data Grid, Army High Performance
`Computing and Research Center (AHPCRC), 2000-2004, $260K, original contributor to center proposal.
`
`22. Principal Investigator, Resource Management for Parallel and Distributed Systems, NSF CAREER award
`ACR, 1996-2001, $200K, REU supplement $5K (2000), sole PI.
`
`23. Principal Investigator, Smart File Objects: An Application-directed File Access Paradigm, Texas Advanced
`Research Program ARP-010115-226, 1997-2000, $106K, sole PI.
`
`24. Participant, Telecommunication Networks for Mobile and Distributed Computing and Communications,
`AFOSR-F49620-96-1-0472, 1996-2000, $2M, (PI Hiromoto).
`
`25. Co-Principal Investigator, Building a Pipeline for Minority Scholars, NSF CISE MI-I CDA-9633299, 1996
`- 1999, $1.3M. (Hiromoto PI, Weissman, Das, Boppana, Psarris, Jeffery, Rosen co-PIs).
`
`26. Fellowship, Applying Parallel Object-Oriented Computing to Scientific Applications, NASA Graduate Student
`Researchers Program Fellowship, Jet Propulsion Laboratory, 1991-1995, $66K.
`
`9
`
`Amazon.com Exhibit 1003 - Page 9
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`PUBLICATIONS
`
`Journal Articles: for up-to-date-list, see www.cs.umn.edu/˜jon
`
`1. Kwangsung Oh, Abhishek Chandra, and Jon Weissman, Network Cost-aware Geo-distributed Data Analytics
`System IEEE Transactions on Parallel and Distributed Systems, 2022.
`
`2. Kwangsung Oh, Nan Qin, Abhishek Chandra, and Jon Weissman, Wiera: Policy-Driven Multi-Tiered Geo-
`Distributed Cloud Storage System, IEEE Transactions on Parallel and Distributed Systems, Vol. 31, No. 11,
`Feb 2020.
`
`3. Albert Jonathan, Mathew Ryden, Kwangsung Oh, Abhishek Chandra, and Jon Weissman, Nebula: Dis-
`tributed Edge Cloud for Data Intensive Computing, IEEE Transactions on Parallel and Distributed Systems,
`Vol. 28, No. 11, Nov 2017.
`
`4. Benjamin Heintz, Abhishek Chandra, Ramesh Sitaraman, and Jon B. Weissman, End-to-end Optimization
`for Geo-Distributed MapReduce, IEEE Transactions on Cloud Computing, Vol. 4, No. 3, July 2016.
`
`5. Jinoh Kim, Seonho Kim, and Jon B. Weissman, A Security-enabled Grid System for MINDS Distributed
`Data Mining, Journal of Grid Computing, 2014.
`
`6. Murray Cole, Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer Rana, and Jon B. Weissman, Dis-
`tributed Computing Practice for Large-Scale Science and Engineering Applications, Concurrency: Practice
`and Experience, Volume 25, Issue 11, September 2013.
`
`7. Adam Barker, Jon B. Weissman, Jano van Hemert, Accelerating Service-Oriented Workflows, IEEE Trans-
`actions on Services Computing, 5(3), 2012.
`
`8. Jinoh Kim, Abhishek Chandra and Jon B. Weissman, Passive Network Performance Estimation for Large-
`scale, Data-intensive Computing, IEEE Transactions on Parallel and Distributed Systems, 22(8), August 2011.
`
`9. Jia Jingxi, Bharadwaj Veeravalli, and Jon B. Weissman, Scheduling Multi-source Divisible Loads on Arbi-
`trary Networks, IEEE Transactions on Parallel and Distributed Systems, 21(4), April 2010.
`
`10. Jinoh Kim, Abhishek Chandra and Jon B. Weissman, Using Data Accessibility for Resource Selection in
`Large-scale Distributed Systems, IEEE Transactions on Parallel and Distributed Systems, 20(6), June 2009.
`
`11. Byoung-Dai Lee, Jon B. Weissman, Young-Kwang Nam, Adaptive middleware supporting scalable perfor-
`mance for high-end network services, Journal of Network and Computer Applications, 32(3), May 2009.
`
`12. Adam Barker, Jon B. Weissman and Jano van Hemert, The Circulate Architecture: Avoiding Workflow
`Bottlenecks Caused By Centralised Orchestration, Journal of Cluster Computing, 12(2), 2009.
`
`13. Jason D. Sonnek, Abhishek Chandra, and Jon B. Weissman, Adaptive Reputation-Based Scheduling on Un-
`reliable Distributed Infrastructures, IEEE Transactions on Parallel and Distributed Systems, 18(11), November
`2007.
`
`14. Darin England, Bharadwaj Veeravalli, and Jon B. Weissman, A Robust Spanning Tree Topology for Data
`Collection and Dissemination in Distributed Environments, IEEE Transactions for Parallel and Distributed
`Systems, 18(5), May 2007.
`
`15. Rahul Trivedi, Abhishek Chandra, and Jon B. Weissman, Heterogeity-Aware Workload Distribution in
`Donation Based Grids, invited to the International Journal for High Performance Computing and Applications
`(IJHPCA), 20(4), 2006.
`
`16. Darin England and Jon B. Weissman, A Resource Leasing Policy for On-demand Computing, invited to the
`International Journal for High Performance Computing and Applications (IJHPCA), 20(1), 2006.
`
`17. Jon B. Weissman, Darin England, and Lakshman Abburi Rao, “Integrated Scheduling: The Best of Both
`Worlds,” Journal of Parallel and Distributed Computing, 63(6), 2003.
`
`10
`
`Amazon.com Exhibit 1003 - Page 10
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`18. Jon B. Weissman and Byoung-Dai Lee, “The Virtual Service Grid: An Architecture for Delivering High-End
`Network Services”, Concurrency: Practice and Experience, Vol. 14, No. 4, April 2002.
`
`19. Jon B. Weissman, “Predicting the Cost and Benefit of Adapting Parallel Applications in Clusters”, Journal
`of Parallel and Distributed Computing, Vol. 62, No. 8, August 2002.
`
`20. Jon B. Weissman, Mike Gingras, and Mahesh Marina, “Optimizing Remote File Access for Parallel and
`Distributed Network Applications” Journal of Parallel and Distributed Computing, Vol. 61, No. 11, November
`2001.
`
`21. Jon B. Weissman, “Prophet: Automated Scheduling of SPMD Programs in Workstation Networks”, Con-
`currency: Practice and Experience, Vol. 11, No. 6, August 1999.
`
`22. Jon B. Weissman “Gallop: The Benefits of Wide-Area Computing for Parallel Processing”, Journal of
`Parallel and Distributed Computing, Vol. 54, No. 2, November 1998.
`
`23. Jon B. Weissman and Xin Zhao, “Scheduling Parallel Applications in Distributed Networks,” Journal of
`Cluster Computing, Vol. 1, No. 1, May 1998, invited paper.
`
`24. Andrew S. Grimshaw, Jon B. Weissman, and W. Timothy Strayer, “Portable Run-time Support for Dynamic
`Object-Oriented Parallel Processing,” ACM Transactions on Computer Systems, Vol. 14, No. 2, May 1996.
`
`25. Jon B. Weissman and Andrew S. Grimshaw, “A Framework for Partitioning Parallel Computations in
`Heterogeneous Environments”, Concurrency: Practice and Experience, Vol. 7, No. 5, August 1995.
`
`26. Andrew Grimshaw, Jon B. Weissman, Emily West, and Edmond Loyot, Jr., “Metasystems: An Approach
`Combining Parallel Processing and Heterogeneous Distributed Computing Systems”, Journal of Parallel and
`Distributed Computing, Vol. 21, No. 3, June 1994.
`
`27. Jon B. Weissman, Andrew S. Grimshaw, and Robert R. Ferraro, “Parallel Object-Oriented Computation
`Applied to a Finite Element Problem,” Journal of Scientific Programming, Vol. 2, No. 4, 1993.
`
`Books and Book Chapters
`
`1. Benjamin Heintz, Abhishek Chandra and Jon Weissman, Cross-Phase Optimization in MapReduce, in Cloud
`Computing for Data-Intensive Applications, Springer, 2014.
`
`2. Jon B. Weissman and Jinoh Kim, Network Awareness in Volunteer Networks, in Desktop Grid Computing,
`CRC Press, 2013.
`
`3. Steve Chapin and Jon B. Weissman, Distributed and Multiprocessor Scheduling (Operating Systems Area),
`The Computer Science and Engineering Handbook, 2004.
`
`11
`
`Amazon.com Exhibit 1003 - Page 11
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`Highly Selective Articles: : for up-to-date-list, see www.cs.umn.edu/˜jon
`
`1. Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik Vishwanath, Cody Perakslis, Abhishek Chan-
`dra, and Jon Weissman, Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense
`Environments, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.
`
`2. Kwangsung Oh, Abhishek Chandra, and Jon Weissman, A Network Cost-aware Geo-distributed Data Ana-
`lytics System 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid,
`2021.
`
`3. Albert Jonathan, Abhishek Chandra, and Jon Weissman, Wide-area Adaptive Stream Processing ACM
`Middleware, 2020.
`
`4. Nikhil Sreekumar, Abhishek Chandra, and Jon Weissman, Towards a Robust Edge-Native Storage System
`Fifth ACM/IEEE Symposium on Edge Computing (SEC), 2020.
`
`5. Zach Leidall, Abhishek Chandra, Jon Weissman, An Edge-based Framework for Cooperation in Internet of
`Things Applications, 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge), Renton, Wash-
`ington, July 2019.
`
`6. Albert Jonathan, Abhishek Chandra, and Jon Weissman, Multi-Query Optimization in Wide-Area Streaming
`Analytics, ACM Symposium on Cloud Computing 2018 (SOCC), Carlsbad, California, October 2018.
`
`7. Feng Liu, Kate Keahey, Pierre Riteau, and Jon Weissman, Dynamically Negotiating Capacity between On-
`Demand and Batch Clusters, International Conference for High Performance Computing, Networking, Storage,
`and Analysis (SC’18), Nov 2018, Dallas, TX.
`
`8. Albert Jonathan, Abhsishek Chandra, and Jon B. Weissman, Rethinking Adaptability in Wide-Area Stream
`Processing Systems, Workshop on Hot Topics in Cloud Computing (HotCloud ’18), June 2018.
`
`9. Kwangsung Oh, Abhishek Chandra and Jon Weissman, TripS: Automated Multi-tiered Data Placement in
`a Geo-distributed Cloud Environment, 10th ACM International Systems and Storage Conference (SYSTOR),
`May 2017, Haifa Israel.
`
`10. Kwangsung Oh, Abhishek Chandra, and Jon Weissman, Wiera: Towards Flexible Multi-Tiered Geo-Distributed
`Cloud Storage Instances, 25th IEEE International Symposium on High Performance Distributed Computing
`(HPDC), June 2016, Kyoto, Japan.
`
`11. Matteo Turilli, Feng Liu, Zhao Zhang, Andre Merzky, Michael Wilde, Jon Weissman, Daniel S. Katz, and
`Shantenu Jha, Integrating Abstractions to Enhance the Execution of Distributed Applications, 30th IEEE
`International Parallel & Distributed Processing Symposium (IPDPS), May 2016, Chicago, Il.
`
`12. Albert Jonathan, Abhishek Chandra, and Jon Weissman, Awan: Locality-aware Resource Manager for Geo-
`distributed Data-intensive Applications, IEEE International Conference on Cloud Engineering, April 2016,
`Berlin, Germany.
`
`13. Francis Liu and Jon Weissman, Elastic Job Bundling: An Adaptive Resource Request Strategy for Large-Scale
`Parallel Applications, to appear in the International Conference for High Performance Computing, Networking,
`Storage, and Analysis (SC’15), Nov 2015, Austin, TX.
`
`14. John Kolb, Prashant Chaudhary, Alexander Schillinger, Abhishek Chandra and Jon Weissman, Cloud-Based,
`User-Centric Mobile Application, IEEE International Conference on Cloud Engineering, March 2015, Tempe,
`AZ.
`
`15. Ajaykrishna Raghavan, Abhishek Chandra, and Jon B. Weissman, Tiera: Towards Flexible Multi-Tiered
`Cloud Storage Instances, ACM Middleware, 2014.
`
`16. John Kolb, Will Myott, Thao Nguyen, Abhishek Chandra and Jon B. Weissman, Exploiting User Interest
`in Data-Driven Cloud-based Mobile Optimization, IEEE Conference on Mobile Cloud Computing, April 2014,
`Oxford, UK
`
`12
`
`Amazon.com Exhibit 1003 - Page 12
`Amazon.com, Inc. v. DynaPass IP Holdings LLC
`IPR2024-00283 - U.S. Patent No. 6,993,658
`
`

`

`17. Mathew Ryden, Kwangsung Oh, Abhishek Chandra and Jon B. Weissman, Nebula: Distributed Edge Cloud
`for Data Intensive Computing, IEEE International Conference on Cloud Engineering, March 2014, Boston,
`MA
`
`18. Abhishek Chandra, Jon Weissman, and Benjamin Heintz Decentralized Edge Clouds, IEEE Internet Com-
`puting, 2013.
`
`19. Benjamin Heintz, Chenyu Wang, Abhishek Chandra, and Jon B. Weissman, Cross-Phase Optimization in
`MapReduce, IEEE International Conference on Cloud Engineering, March 2013, San Francisco, CA
`
`20. Chonglei Mei, Daniel Taylor, Chenyu Wang, Abhishek Chandra, and Jon B. Weissman, Sharing-aware
`Cloud-based Mobile Outsourcing IEEE 5th International Conference on Cloud Computing, 2012.
`
`21. Atul Katiyar and Jon B. Weissman, ViDeDup: An Application-Aware Framework for Video De-duplication,
`Third Usenix Workshop on Hot Topics in Storage and File Systems (HotStorage’11), Portland, OR 2011.
`
`22. Louis-Claude Canon, Emmanuel Jeannot, and Jon B. Weissman, A Scheduling and Certification Algorithm
`for Defeating Collusion in Desktop Grids, 31st IEEE International Conference on Distributed Computing Sys-
`tems (ICDCS), Minneapolis, MN, June 2011.
`
`23. Louis-Claude Canon, Emmanuel Jeannot, and Jon B. Weissman, A Dynamic Approach for Characterizing
`Collusion in Desktop Grids, 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS),
`2010.
`
`24. Abhishek Chandra and Jon B. Weissman, Nebulas: Using Distributed Voluntary Resources to Build Clouds,
`Workshop on Hot Topics in Cloud Computing (HotCloud ’09), June 2009.
`
`25. Jon B. Weissman and Siddharth Ramakrishnan, Using Proxies to Accelerate Cloud Applications, Workshop
`on Hot Topics in Cloud Computing (HotCloud ’09), June 2009.
`
`26. Adam Barker, Jon B. Weissman and Jano van Hemert, Eliminating the Middle-Man: Peer-to-Peer Dataflow,
`17th IEEE International Symposium on High Performance Distributed Computing (HPDC), Boston, MA, June
`2008.
`
`27. Jinoh Kim, Abhishek Chandra and Jon B. Weissman, Accessibility-based Resource Selection in Loosely-
`coupled Distributed Systems, 28th IEEE International Conference on Distributed Computing Systems (ICDCS),
`Beijing, China, June 2008.
`
`28. Krishnaveni Budati, Abhishek Chandra, and Jon B. Weissman, RIDGE: Combining Reliability and Per-
`formance in Open Grid Platforms, 16th IEEE International Symposium on High Performance Distributed
`Computing (HPDC), June 2007.
`
`29. Jason D. Sonnek, Mukesh Nathan, Abhishek Chandra, and Jon B. Weissman, Reputation Based Schedul-
`