| Nebula: Distributed edge cloud for data intensive computing M Ryden, K Oh, A Chandra, J Weissman 2014 IEEE International Conference on Cloud Engineering, 57-66, 2014 | 157 | 2014 |
| Metasystems: An approach combining parallel processing and heterogeneous distributed computing systems AS Grimshaw, JB Weissman, EA West, EC Loyot Journal of parallel and distributed computing 21 (3), 257-270, 1994 | 154 | 1994 |
| A genetic algorithm based approach for scheduling decomposable data grid applications S Kim, JB Weissman International Conference on Parallel Processing, 2004. ICPP 2004., 406-413, 2004 | 135 | 2004 |
| Nebulas: Using Distributed Voluntary Resources to Build Clouds. A Chandra, JB Weissman HotCloud, 2009 | 130 | 2009 |
| Adaptive reputation-based scheduling on unreliable distributed infrastructures J Sonnek, A Chandra, J Weissman IEEE Transactions on Parallel and Distributed Systems 18 (11), 1551-1564, 2007 | 123 | 2007 |
| Decentralized edge clouds A Chandra, J Weissman, B Heintz IEEE Internet Computing 17 (5), 70-73, 2013 | 109 | 2013 |
| Exploring mapreduce efficiency with highly-distributed data M Cardosa, C Wang, A Nangia, A Chandra, J Weissman Proceedings of the second international workshop on MapReduce and its …, 2011 | 101 | 2011 |
| Portable run-time support for dynamic object-oriented parallel processing AS Grimshaw, JB Weissman, WT Strayer ACM Transactions on Computer Systems (TOCS) 14 (2), 139-170, 1996 | 92 | 1996 |
| Nebula: Distributed edge cloud for data intensive computing A Jonathan, M Ryden, K Oh, A Chandra, J Weissman IEEE Transactions on Parallel and Distributed Systems 28 (11), 3229-3242, 2017 | 77 | 2017 |
| End-to-end optimization for geo-distributed mapreduce B Heintz, A Chandra, RK Sitaraman, J Weissman IEEE Transactions on Cloud Computing 4 (3), 293-306, 2014 | 75 | 2014 |
| A robust spanning tree topology for data collection and dissemination in distributed environments D England, B Veeravalli, JB Weissman IEEE transactions On parallel and distributed systems 18 (5), 608-620, 2007 | 75 | 2007 |
| A federated model for scheduling in wide-area systems JB Weissman, AS Grimshaw Proceedings of 5th IEEE International Symposium on High Performance …, 1996 | 68 | 1996 |
| Gallop: The benefits of wide-area computing for parallel processing JB Weissman Journal of Parallel and Distributed Computing 54 (2), 183-205, 1998 | 62 | 1998 |
| Scheduling parallel applications in distributed networks JB Weissman, X Zhao Cluster Computing 1, 109-118, 1998 | 62 | 1998 |
| Reputation-based scheduling on unreliable distributed infrastructures J Sonnek, M Nathan, A Chandra, J Weissman 26th IEEE International Conference on Distributed Computing Systems (ICDCS …, 2006 | 60 | 2006 |
| A quantitative comparison of reputation systems in the grid JD Sonnek, JB Weissman The 6th IEEE/ACM International Workshop on Grid Computing, 2005., 8 pp., 2005 | 60 | 2005 |
| Ridge: combining reliability and performance in open grid platforms K Budati, J Sonnek, A Chandra, J Weissman Proceedings of the 16th international symposium on High performance …, 2007 | 55 | 2007 |
| Prophet: automated scheduling of SPMD programs in workstation networks JB Weissman Concurrency: Practice and Experience 11 (6), 301-321, 1999 | 55 | 1999 |
| Costs and benefits of load sharing in the computational grid D England, JB Weissman Workshop on Job Scheduling Strategies for Parallel Processing, 160-175, 2004 | 54 | 2004 |
| Multi-query optimization in wide-area streaming analytics A Jonathan, A Chandra, J Weissman Proceedings of the ACM symposium on cloud computing, 412-425, 2018 | 52 | 2018 |
