Refereed Publications

• Jingle: IoT-Informed Autoscaling for Efficient Resource Management in Edge Computing
  Yixuan Wang, Abhishek Chandra, Jon Weissman
  to appear in CCGrid 2024

• SQuBA: Social Quorum Based Access Control for Open IoT Environments
  Yixuan Wang, Abhishek Chandra, Jon Weissman
  IEEE Edge 2023, best student paper awardee.

• Armada: A Robust Latency-Sensitive Edge Cloud in Heterogeneous Edge-Dense Environments
  Lei Huang, Zhiying Liang, Nikhil Sreekumar, Sumanth Kaushik Vishwanath, Cody Perakslis, Abhishek Chandra, Jon Weissman
  42nd IEEE International Conference on Distributed Computing Systems (ICDCS), Bologna, Italy, June 2022.

• Network Cost-aware Geo-distributed Data Analytics System
  Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  IEEE Transactions on Parallel and Distributed Systems, 2022.

• A Network Cost-aware Geo-distributed Data Analytics System
  Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021).

• WASP: Wide-area Adaptive Stream Processing
  Albert Jonathan, Abhishek Chandra, and Jon Weissman, ACM Middleware 2020.

• Towards a Robust Edge-Native Storage System
  Nikhil Sreekumar, Abhishek Chandra, and Jon Weissman
  Fifth ACM/IEEE Symposium on Edge Computing (SEC 2020).

• Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System
  Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  IEEE Transactions on Parallel and Distributed Systems, Vol. 31, No. 11, Feb 2020.

• An Edge-based Framework for Cooperation in Internet of Things Applications
  Zach Leidall, Abhishek Chandra, Jon Weissman
  2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge), Renton, Washington, July 2019.

• Multi-Query Optimization in Wide-Area Streaming Analytics
  Albert Jonathan, Abhishek Chandra, and Jon Weissman
  ACM Symposium on Cloud Computing 2018 (SOCC), Carlsbad, California, October 2018.

• Dynamically Negotiating Capacity between On-Demand and Batch Clusters
  Feng Liu, Kate Keahey, Pierre Riteau, and Jon Weissman
  International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'18), Nov 2018, Dallas, TX.
  

• Rethinking Adaptability in Wide-Area Stream Processing Systems
  Albert Jonathan, Abhishek Chandra, and Jon Weissman
  10th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), Boston, MA, June 2018.
  

• Locality-Aware Load Sharing in Mobile Cloud Computing
  Albert Jonathan, Abhishek Chandra, and Jon Weissman
  IEEE/ACM International Conference on Utility and Cloud Computing, 2017.
  

• Ensuring Reliability in Geo-Distributed Edge Cloud
  Albert Jonathan, Abhishek Chandra, and Jon Weissman
  IEEE RWS (Resilience Week), 2017.
  

• Nebula: Distributed Edge Cloud for Data Intensive Computing
  Albert Jonathan, Mathew Ryden, Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  IEEE Transactions on Parallel and Distributed Systems, 2017.
  

• TripS: Automated Multi-tiered Data Placement in a Geo-distributed Cloud Environment
  Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  10th ACM International Systems and Storage Conference (SYSTOR 2017), May 2017.

• Creating an Abstraction to Exploit IoT Synergies
  Zach Leidall, Abhishek Chandra, Jon Weissman
  2nd ACM/IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2017 (Extended Abstract).

• Wiera: Towards Flexible Multi-Tiered Geo-Distributed Cloud Storage Instances
  Kwangsung Oh, Abhishek Chandra and Jon Weissman
  25th IEEE International Symposium on High Performance Distributed Computing (HPDC), June 2016.

• From Abstractions to MODELS: MOdels for Distributed and Extremely Large-scale Science
  Shantenu Jha, Daniel S. Katz, Matteo Turilli, and Jon Weissman
  DOE Whitepaper, 2016.

• Integrating Abstractions to Enhance the Execution of Distributed Applications,
  Matteo Turilli, Feng Liu, Zhao Zhang, Andre Merzky, Michael Wilde, Jon Weissman, Daniel S. Katz, and Shantenu Jha
  30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2016.

• Awan: Locality-aware Resource Manager for Geo-distributed Data-intensive Applications
  Albert Jonathan, Abhsishek Chandra, and and Jon Weissman
  IEEE International Conference on Cloud Engineering, April 2016, Berlin, Germany.

• Elastic Job Bundling: An Adaptive Resource Request Strategy for Large-Scale Parallel Applications
  Francis Liu and Jon Weissman
  Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'15), Nov 2015, Austin, TX.
  

• Redefining Data Locality for Cross-Data Center Storage
  Kwangsung Oh, Ajaykrishna Raghavan, Abhishek Chandra and Jon Weissman
  The 2nd International Workshop on Software-Defined Ecosystems (BigSystem 2015), June 2015, Portland, OR.
  

• Cloud-Based, User-Centric Mobile Application
  John Kolb, Prashant Chaudhary, Alexander Schillinger, Abhishek Chandra and Jon Weissman
  IEEE International Conference on Cloud Engineering, March 2015, Tempe, AZ.
  

• End-to-end Optimization for Geo-Distributed MapReduce
  Benjamin Heintz, Abhishek Chandra, Ramesh Sitaraman, and Jon B. Weissman
  IEEE Transactions on Cloud Computing, 2015.
  

• Tiera: Towards Flexible Multi-Tiered Cloud Storage Instances
  Ajaykrishna Raghavan, Abhishek Chandra, and Jon Weissman
  ACM Middleware 2014.
  

• Cross-Phase Optimization in MapReduce
  Benjamin Heintz, Abhishek Chandra, and Jon B. Weissman
  "Cloud Computing for Data Intensive Applications", Springer 2014.
  

• Opportunities for Data-Driven Cloud-based Mobile Optimization
  William Myott, Thao Nguyen, Abhishek Chandra, George Karypis, and Jon B. Weissman
  invited to 2014 International Conference on Collaboration Technologies and Systems, Minneapolis, MN, May 2014.
  

• A Security-enabled Grid System for MINDS Distributed Data Mining
  Jinoh Kim, Seonho Kim, and Jon B. Weissman
  Journal of Grid Computing, 2014.
  

• Tiera: Towards Flexible Multi-Tiered Cloud Storage Instances
  Ajaykrishna Raghavan, Abhishek Chandra, and Jon B. Weissman
  Technical Report TR14-003, Department of Computer Science and Engineering, University of Minnesota, January 2014.
  

• Exploiting User Interest in Data-Driven Cloud-based Mobile Optimization
  John Kolb, Will Myott, Thao Nguyen, Abhishek Chandra and Jon B. Weissman
  IEEE Conference on Mobile Cloud Computing, April 2014, Oxford, UK
  

• Nebula: Distributed Edge Cloud for Data Intensive Computing
  Mathew Ryden, Kwangsung Oh, Abhishek Chandra and Jon B. Weissman
  IEEE International Conference on Cloud Engineering, March 2014, Boston, MA
  

• Distributed Computing Practice for Large-Scale Science and Engineering Applications
  Murray Cole, Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer Rana, and Jon B. Weissman
  Concurrency: Practice and Experience, Volume 25, Issue 11, September 2013.
  

• Decentralized Edge Clouds
  Abhishek Chandra, Jon Weissman, and Benjamin Heintz
  IEEE Internet Computing 2013.

• Accelerating Distributed Workflows With Edge Resources
  Siddharth Ramakrishna, Robert Reutiman, Abhishek Chandra, and Jon B. Weissman
  the Second International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (CloudFlow), Boston MA, May 2013.

• Cross-Phase Optimization in MapReduce
  Benjamin Heintz, Chenyu Wang, Abhishek Chandra, and Jon B. Weissman
  IEEE International Conference on Cloud Engineering, March 2013, San Francisco, CA
  

• Sharing-aware Cloud-based Mobile Outsourcing
  Chonglei Mei, Daniel Taylor, Chenyu Wang, Abhishek Chandra, and Jon B. Weissman
  IEEE 5th International Conference on Cloud Computing, 2012.
  

• Reducing Dataflow in Service-Oriented Architectures
  Adam Barker, Jon B. Weissman, and Jano van Hemert
  IEEE Transactions on Services Computing, 5(3), 2012.
  

• Mobilizing the Cloud: Enabling Multi-User Mobile Outsourcing in the Cloud
  Chonglei Mei, Daniel Taylor, Chenyu Wang, Abhishek Chandra, and Jon B. Weissman
  Technical Report TR11-029, Department of Computer Science and Engineering, University of Minnesota, November 2011.
  

• Survey and Analysis of Production Distributed Computing Infrastructures
  D. S. Katz, S. Jha, M. Parashar, O. Rana, and J. Weissman
  Technical Report CI-TR-7-0811. Computation Institute, University of Chicago & Argonne National Laboratory, September 2011

• ViDeDup: An Application-Aware Framework for Video De-duplication
  Atul Katiyar and Jon B. Weissman
  HotStorage 2011: 3rd Workshop on Hot Topics in Storage and File Systems, 2011.

• Early Experience with the Distributed Nebula Cloud
  Pradeep Sundarrajan, Mathew Ryden, Rohit Nair, Abhishek Gupta, Abhishek Chandra and Jon B. Weissman
  4th International Workshop of Data-Intensive Computing (DIDC with HPDC), 2011
  

• Dynamic Outsourcing Mobile Computation to the Cloud
  Chonglei Mei, James Shimek, Chenyu Wang, Abhishek Chandra and Jon B. Weissman
  Technical Report TR11-006, Department of Computer Science and Engineering, University of Minnesota, March 2011.
  

• Exploring MapReduce Efficiency with Highly-Distributed Data
  Mike Cardoa, Anshuman Nangia, Chenyu Wang, Ahishek Chandra and Jon B. Weissman
  Second International Workshop on MapReduce and its Applications (MAPREDUCE with HPDC), 2011.

• Passive Network Performance Estimation for Large-scale, Data-intensive Computing
  Jinoh Kim, Abhishek Chandra and Jon B. Weissman
  IEEE Transactions on Parallel and Distributed Systems (TPDS), 22(8), August 2011.

• A Scheduling and Certification Algorithm for Defeating Collusion in Desktop Grids
  Louis-Claude Canon, Emmanuel Jeannot, and Jon B. Weissman
  31st IEEE International Conference on Distributed Computing Systems (ICDCS), Minneapolis, MN, June 2011.

• A Scheduling Algorithm for Defeating Collusion
  Louis-Claude Canon, Emmanuel Jeannot, and Jon B. Weissman
  INRIA, Research Report RR-7403, Oct. 2010.

• A Dynamic Approach for Characterizing Collusion in Desktop Grids
  Louis-Claude Canon, Emmanuel Jeannot, and Jon B. Weissman, 24th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2010.

• Scheduling Multi-source Divisible Loads on Arbitrary Networks
  Jia Jingxi, Bharadwaj Veeravalli, and Jon B. Weissman
  IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 21(4), pp 520-531, 2010.

• Critical Perspectives on Large-Scale Distributed Applications and Production Grids
  Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer Rana, and Jon B. Weissman
  the 10th IEEE/ACM Conference on Grid Computing (Grid 2009), Banff, Canada, 2009, best paper awardee.

• Nebulas: Using Distributed Voluntary Resources to Build Clouds
  Abhishek Chandra and Jon B. Weissman
  Workshop on Hot Topics in Cloud Computing (HotCloud'09), San Diego, CA, June 2009.

• Using Proxies to Accelerate Cloud Applications
  Jon B. Weissman and Siddharth Ramakrishnan
  Workshop on Hot Topics in Cloud Computing (HotCloud'09), San Diego, CA, June 2009.

• Using Data Accessibility for Resource Selection in Large-scale Distributed Systems
  Jinoh Kim, Abhishek Chandra and Jon B. Weissman
  IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 20(6), pp 788-801, June 2009.

• The Benefits Of Service Choreography For Data-Intensive Computing
  Adam Barker, Paolo Besana, David Robertson, and Jon B. Weissman
  ACM/IEEE 7th International Workshop on Challenges of Large Applications in Distributed Environments (CLADE 2009), Munich, Germany 2009.

• Adaptive middleware supporting scalable performance for high-end network services
  Byoung-Dai Lee, Jon B. Weissman, and Young-Kwang Nam
  Journal of Network and Computer Applications, 32(3), May 2009.

• The Circulate Architecture: Avoiding Workflow Bottlenecks Caused By Centralised Orchestration
  Adam Barker, Jon B. Weissman, and Jano van Hemert
  Journal of Cluster Computing, 12(2), 2009.

• Eliminating The Middleman: Peer-to-Peer Dataflow
  Adam Barker, Jon B. Weissman and Jano van Hemert
  17th IEEE International Symposium on High Performance Distributed Computing (HPDC), June 2008.

• Orchestrating Data-centric Workflows
  Adam Barker, Jon B. Weissman and Jano van Hemert
  IEEE/ACM CCGrid International Symposium on Cluster Computing and the Grid, Lyon, France, May 2008.

• Accessibility-based Resource Selection in Loosely-coupled Distributed Systems
  Jinoh Kim, Abhishek Chandra and Jon Weissman
  28th IEEE International Conference on Distributed Computing Systems (ICDCS'08), Beijing, China, June 2008.

• Exploring the Throughput-Fairness Tradeoff of Deadline Scheduling in Heterogeneous Computing Environments (TR version)
  Vasumathi Sundaram, Abhishek Chandra and Jon Weissman
  Proceedings of the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS'08), short paper, Annapolis, MD, June 2008.

• Adaptive Reputation-Based Scheduling on Unreliable Distributed Infrastructures (appendix)
  Jason D. Sonnek, Abhishek Chandra, and Jon B. Weissman
  IEEE Transactions on Parallel and Distributed Systems, 18(11), November 2007.

• RIDGE: Combining Reliability and Performance in Open Grid Platforms
  Krishnaveni Budati, Abhishek Chandra, and Jon B. Weissman
  16th IEEE International Symposium on High Performance Distributed Computing (HPDC), 2007.

• A Robust Spanning Tree Topology for Data Collection and Dissemination in Distributed Environments
  Darin England, Bharadwaj Veeravalli, and Jon B. Weissman
  IEEE Transactions for Parallel and Distributed Systems, 18(5), May 2007.

• Exploiting Heterogeneity for Collective Data Downloading in Volunteer-based Networks
  Jinoh Kim, Abhishek Chandra, and Jon B. Weissman
  IEEE/ACM CCGrid International Symposium on Cluster Computing and the Grid, 2007.

• NGS: Service Adaptation in Open Grid Platforms
  Krishnaveni Budati, Jinoh Kim, Abhishek Chandra and Jon Weissman
  Proceedings of the IPDPS NSF Next Generation Software Workshop, 2007.

• DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing
  Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertoz, Gyorgy Simon, Seonho Kim, and Jinoh Kim
  Workshop on Dynamic Data Driven Application Systems - DDDAS 2007, Beijing, China, 2007.

• Reputation-Based Scheduling on Unreliable Distributed Infrastructures
  Jason Sonnek, Mukesh Nathan, Abhishek Chandra and Jon Weissman
  Proceedings of the 26th International Conference on Distributed Computing Systems (ICDCS'06), Lisboa, Portugal, July 2006,

• Heterogeity-Aware Workload Distribution in Donation Based Grids
  Rahul Trivedi, Abhishek Chandra, and Jon B. Weissman
  invited to the International Journal for High Performance Computing and Applications (IJHPCA), 20(4), 2006.

• A Resource Leasing Policy for On-demand Computing
  Darin England and Jon B. Weissman
  invited to the International Journal for High Performance Computing and Applications (IJHPCA), 20(1), 2006.

• A Quantitative Comparison of Reputation Systems in the Grid
  Jason D. Sonnek and Jon B. Weissman
  6th IEEE/ACM International Workshop on Grid Computing 2005.

• Hosting Services on the Grid: Challenges and Opportunities
  Abhishek Chandra, Rahul Trivedi, and Jon B. Weissman
  University of Minnesota Computer Science TR-05-026, July 2005.

• A New Metric for Robustness with Application to Job Scheduling
  Darin England, Jon B. Weissman, and Jayashree Sadagopan
  Fourteenth IEEE International Symposium on High Performance Distributed Computing (HPDC), 2005.

• A Framework for Dynamic Service Adaptation in the Grid
  Jon B. Weissman, Seonho Kim, and Darin England
  Proceedings of the IPDPS NSF Next Generation Software Workshop Denver, Colorado, April 2005.

• Platform-of-Platforms: A Modular Integrated Resource Framework for Large-Scale Services
  Rahul Trivedi, Abhishek Chandra, and Jon B. Weissman
  2nd Symposium on Networked System Design and Implementation (NSDI) 2005 (poster paper).

• Supporting the Dynamic Grid Service Lifecycle
  Jon B. Weissman, Seonho Kim, and Darin England
  IEEE/ACM CCGrid International Symposium on Cluster Computing and the Grid, 2005.

• Distributed and Multiprocessor Scheduling
  Steve Chapin and Jon B. Weissman
  The Computer Science and Engineering Handbook, 2004.

• A Stochastic Control Model for the Deployment of Dynamic Grid Services
  Darin England and Jon B. Weissman
  5th IEEE/ACM International Workshop on Grid Computing 2004.

• Costs and Benefits of Load Sharing in the Computational Grid
  Darin England and Jon B. Weissman
  Workshop on Job Scheduling Strategies for Parallel Processing with Sigmetrics 2004.

• A GA-based approach for scheduling decomposable data grid applications
  Seonho Kim and Jon B. Weissman
  International Confernce on Parallel Processing 2004.

• Integrated Scheduling: The Best of Both Worlds
  Jon B. Weissman, Darin England, and Lakshman Abburi Rao
  Journal of Parallel and Distributed Computing, 63(6), 2003.

• Adaptive Resource Selection for Grid-enabled Network Services
  Byoung-Dai Lee and Jon B. Weissman
  IEEE 2nd International Symposium on Network Computing and Applications, 2003.

• Community Service Toolkit for Rapid Deployment of Network Services
  Byoung-Dai Lee and Jon B. Weissman
  IEEE 2002 Workshop on Cluster Computing, 2002.

• The Virtual Service Grid: An Architecture for Delivering High-End Network Services
  Jon B. Weissman and Byoung-Dai Lee
  Concurrency: Practice and Experience, 14(4), 2002.

• Adaptive Resource Scheduling for Network Services
  Byoung-Dai Lee and Jon B. Weissman
  3rd ACM/IEEE International Workshop on Grid Computing, 2002.

• Predicting the Cost and Benefit of Adapting Data Parallel Applications in Clusters
  Jon B. Weissman
  Journal of Parallel and Distributed Computing, 62(8)2002.

• Optimizing Remote File Access for Parallel and Distributed Network Applications
  Jon B. Weissman, Mike Gingras, and Mahesh Marina
  Journal of Parallel and Distributed Computing, 61(11), November 2001.

• An Adaptive Service Grid Architecture Using Dynamic Replication
  Byoung-Dai Lee and Jon B. Weissman
  IEEE 2nd International Workshop on Grid Computing, November 2001.

• Dynamic Replica Management in the Service Grid
  Byoung-Dai Lee and Jon B. Weissman
  Tenth IEEE International Symposium on High Performance Distributed Computing (HDPC), August 2001 (short paper).

• Applying Grid Technologies to Bioinformatics
  Mike Karo, Christopher Dwan, John Freeman, Jon B, Weissman, Miron Livny, and Ernest Retzel
  Tenth IEEE International Symposium on High Performance Distributed Computing (HDPC), August 2001 (short paper).

• The Service Grid: Supporting Scalable Heterogenous Services in Wide-Area Networks
  Jon B. Weissman and Byoung-Dai Lee
  SAINT 2001, January 2001.

• Ensemble Scheduling: Resource Co-Allocation on the Computational Grid
  Jon B. Weissman and Pramod Srinivasan
  IEEE 2nd International Workshop on Grid Computing, November 2001.

• Scheduling Multi-Component Applications in Heterogeneous Wide-area Networks
  Jon B. Weissman
  Heterogeneous Computing Workshop, International Parallel and Distributed Processing Symposium IPDPS, May 2000.

• Fault Tolerant Wide-Area Parallel Computing
  Jon B. Weissman
  IEEE Workshop on Fault-Tolerant Parallel and Distributed Systems, International Parallel and Distributed Processing Symposium IPDPS, May 2000.

• Prophet: Automated Scheduling of SPMD Programs in Workstation Networks
  Jon B. Weissman
  Concurrency: Practice and Experience, 11(6), Nov 1999.

• Fault Tolerant Computing on the Grid: What are my options?
  Jon B. Weissman
  Eighth IEEE International Symposium on High Performance Distributed Computing (HDPC), August 1999 (short paper).

• Smart Multimedia File Objects
  Mike Gingras and Jon B. Weissman
  IEEE Workshop on Internet Applications (WIA), July 1999.

• Smart File Objects: A Remote File Access Paradigm
  Jon B. Weissman
  Sixth ACM Workshop on I/O in Parallel and Distributed Systems (IOPADS), May 1999.

• Gallop: The Benefits of Wide-Area Computing for Parallel Processing
  Jon B. Weissman
  Journal of Parallel and Distributed Computing, 54(2), November 1998.

• Scheduling Parallel Applications in Distributed Networks
  Jon B. Weissman and Xin Zhao
  Journal of Cluster Computing, 1(1), May 1998, invited paper.

• Metascheduling: A Scheduling Model for Metacomputing Systems
  Jon B. Weissman
  Proceedings of the Seventh IEEE International Symposium on High Performance Distributed Computing (HPDC), 1998 (short paper).

• Run-time Support for Scheduling Parallel Applications in Heterogeneous NOWs
  Jon B. Weissman and Xin Zhao
  Proceedings of the Sixth IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 347-355, August 1997.

• Portable Run-time Support for Dynamic Object-Oriented Parallel Processing
  Andrew S. Grimshaw, Jon B. Weissman, and W. Timothy Strayer
  ACM Transactions on Computer Systems, 14(2), May 1996.

• Federated Model for Scheduling in Wide-Area Systems
  Jon B. Weissman and Andrew Grimshaw
  Proceedings of the Fifth IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 542-550, August 1996.

• The Interference Paradigm for Network Job Scheduling
  Jon B. Weissman
  Tenth International Parallel Processing Symposium, Heterogeneous Computing Workshop (IPPS), pp. 38-45, April 1996.

• A Framework for Partitioning Parallel Computations in Heterogeneous Environments
  Jon B. Weissman and Andrew S. Grimshaw
  Concurrency: Practice and Experience, Vol. 7, No. 5, pp. 455-478, August 1995.

• Metasystems: An Approach Combining Parallel Processing and Heterogeneous Distributed Computing Systems
  Andrew S. Grimshaw, Jon B. Weissman, Emily A. West, and Edmond C. Loyot, Jr.
  Journal of Parallel and Distributed Computing, 21(3), June 1994.

• Network Partitioning of Data Parallel Computations
  Jon B. Weissman and Andrew S. Grimshaw
  Proceedings of the Third IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 149-156, August 1994.

Miscellaneous

• Smart Environments: Middleware Building Blocks for Pervasive Network Computing
  Jon B. Weissman and Zhi-li Zhang
  NSF Workshop on Infrastructure for Mobile and Wireless Systems, November 2001.

• Grids in the Classroom
  Jon B. Weissman
  IEEE Concurrency, education feature, July 2000.

• Experiences with Mentat on the Intel Paragon
  Jon B. Weissman and Andrew S. Grimshaw
  Scalable High Performance Computing Conference (SHPCC), April 1994, poster paper.

• Parallel Object-Oriented Computation Applied to a Finite Element Problem
  Jon B. Weissman, Andrew S. Grimshaw, and Robert R. Ferraro
  Journal of Scientific Programming, Vol. 2, No. 4, pp. 133-144, 1993.

• Overhead versus Application Granularity in Mentat
  Andrew Grimshaw, Jon B. Weissman, and Emily A. West
  Proceedings of the Workshop on Efficient Implementation of Concurrent Object-Oriented Programs, (OOPSLA), pp. a-1-a-5, Washington D.C., Sept., 1993.

• Parallel Object-Oriented Computation Applied to a Finite Element Problem
  Jon B. Weissman, Andrew S. Grimshaw, and Robert R. Ferraro
  Proceedings of Object-Oriented Numerics (OONSKI), pp. 90-107, 1993.

• Experiences with the Mentat Metasystems Testbed
  Andrew S. Grimshaw, Jon B. Weissman, and Emily A. West
  1992 Workshop on Cluster Computing, Tallahassee, FL, Dec 1992.

• The Role of Event Granularity in Parallel Simulation Design
  Lisa Sokol, Jon B. Weissman, and Paula Mutchler
  Proceedings of the Parallel and Distributed Simulation Conference (PADS), pp. 178-185, 1992.

• Aggregate Level Simulation Protocol
  Richard Weatherly, David Seidel, and Jon B. Weissman
  Proceedings of the 1991 Summer Computer Simulation Conference, pp. 953-958, July 1991.

• An Empirical Comparison of MTW and Time Warp in a Shared Memory Environment
  Lisa Sokol, Jon B. Weissman, and Paula Mutchler
  Proceedings of the SCS Multiconference on Work in Progress (WSMC), pp. 52-59, January 1991.

• MTW: An Empirical Performance Study
  Lisa Sokol, Jon B. Weissman, and Paula Mutchler
  Proceedings of the Winter Simulation Conference (WSC), December 1991.