Sparkbench: a comprehensive benchmarking suite for in memory data analytic platform spark M Li, J Tan, Y Wang, L Zhang, V Salapura Proceedings of the 12th ACM international conference on computing frontiers, 1-8, 2015 | 245 | 2015 |
Mronline: Mapreduce online performance tuning M Li, L Zeng, S Meng, J Tan, L Zhang, AR Butt, N Fuller Proceedings of the 23rd international symposium on High-performance parallel …, 2014 | 182 | 2014 |
Functional partitioning to optimize end-to-end performance on many-core architectures M Li, SS Vazhkudai, AR Butt, F Meng, X Ma, Y Kim, C Engelmann, ... SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010 | 118 | 2010 |
HydraDB: a resilient RDMA-driven key-value middleware for in-memory cluster computing Y Wang, L Zhang, J Tan, M Li, Y Gao, X Guerin, X Meng, S Meng Proceedings of the International Conference for High Performance Computing …, 2015 | 79 | 2015 |
Provisioning a multi-tiered data staging area for extreme-scale machines R Prabhakar, SS Vazhkudai, Y Kim, AR Butt, M Li, M Kandemir 2011 31st International Conference on Distributed Computing Systems, 1-12, 2011 | 58 | 2011 |
CAM: a topology aware minimum cost flow based resource manager for MapReduce applications in the cloud M Li, D Subhraveti, AR Butt, A Khasymski, P Sarkar Proceedings of the 21st international symposium on High-Performance Parallel …, 2012 | 55 | 2012 |
?-diagnosis: Unsupervised and real-time diagnosis of small-window long-tail latency in large-scale microservice platforms H Shan, Y Chen, H Liu, Y Zhang, X Xiao, X He, M Li, W Ding The World Wide Web Conference, 3215-3222, 2019 | 51 | 2019 |
Finding the big data sweet spot: Towards automatically recommending configurations for hadoop clusters on docker containers R Zhang, M Li, D Hildebrand 2015 IEEE International Conference on Cloud Engineering, 365-368, 2015 | 45 | 2015 |
Sparkbench–a spark performance testing suite D Agrawal, A Butt, K Doshi, JL Larriba-Pey, M Li, FR Reiss, F Raab, ... Performance Evaluation and Benchmarking: Traditional to Big Data to Internet …, 2016 | 34 | 2016 |
Jcallgraph: tracing microservices in very large scale container cloud platforms H Liu, J Zhang, H Shan, M Li, Y Chen, X He, X Li Cloud Computing–CLOUD 2019: 12th International Conference, Held as Part of …, 2019 | 20 | 2019 |
Dimsim: An accurate chinese phonetic similarity algorithm based on learned high dimensional encoding M Li, M Danilevsky, S Noeman, Y Li Proceedings of the 22nd Conference on Computational Natural Language …, 2018 | 16 | 2018 |
Gerbil: Mpi+ yarn L Xu, M Li, AR Butt 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 15 | 2015 |
Multi-resource fair sharing for multiclass workflows J Tan, L Zhang, M Li, Y Wang ACM SIGMETRICS Performance Evaluation Review 42 (4), 31-37, 2015 | 12 | 2015 |
Cooperative storage-level de-duplication for i/o reduction in virtualized data centers M Li, S Gaonkar, AR Butt, D Kenchammana, K Voruganti 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation …, 2012 | 8 | 2012 |
Towards building an analytics platform in the cloud V Salapura, KA Beaty, A Bivens, M Kim, M Li Proceedings of the 12th ACM International Conference on Computing Frontiers, 1-8, 2015 | 1 | 2015 |
A resource management framework for cloud computing M Li Virginia Polytechnic Institute and State University, 2014 | | 2014 |