| Maptask scheduling in mapreduce with data locality: Throughput and heavy-traffic optimality W Wang, K Zhu, L Ying, J Tan, L Zhang IEEE/ACM Transactions On Networking 24 (1), 190-203, 2014 | 283 | 2014 |
| 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 | 255 | 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 | 192 | 2014 |
| Resource aware scheduling in a distributed computing environment X Meng, J Tan, L Zhang US Patent 9,201,690, 2015 | 144 | 2015 |
| Coupling task progress for mapreduce resource-aware scheduling J Tan, X Meng, L Zhang 2013 Proceedings IEEE INFOCOM, 1618-1626, 2013 | 120 | 2013 |
| Delay tails in MapReduce scheduling J Tan, X Meng, L Zhang Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international …, 2012 | 120 | 2012 |
| Joint optimization of overlapping phases in MapReduce M Lin, L Zhang, A Wierman, J Tan ACM SIGMETRICS Performance Evaluation Review 41 (3), 16-18, 2014 | 116 | 2014 |
| Restune: Resource oriented tuning boosted by meta-learning for cloud databases X Zhang, H Wu, Z Chang, S Jin, J Tan, F Li, T Zhang, B Cui Proceedings of the 2021 international conference on management of data, 2102 …, 2021 | 103 | 2021 |
| ibtune: Individualized buffer tuning for large-scale cloud databases J Tan, T Zhang, F Li, J Chen, Q Zheng, P Zhang, H Qiao, Y Shi, W Cao, ... Proceedings of the VLDB Endowment 12 (10), 1221-1234, 2019 | 89 | 2019 |
| Improving reducetask data locality for sequential mapreduce jobs J Tan, S Meng, X Meng, L Zhang 2013 Proceedings IEEE INFOCOM, 1627-1635, 2013 | 89 | 2013 |
| 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 | 80 | 2015 |
| Secrecy outage capacity of fading channels O Gungor, J Tan, CE Koksal, H El-Gamal, NB Shroff IEEE transactions on information theory 59 (9), 5379-5397, 2013 | 76 | 2013 |
| Performance analysis of coupling scheduler for mapreduce/hadoop J Tan, X Meng, L Zhang 2012 Proceedings IEEE INFOCOM, 2586-2590, 2012 | 67 | 2012 |
| Preemptive {ReduceTask} Scheduling for Fair and Fast Job Completion Y Wang, J Tan, W Yu, L Zhang, X Meng, X Li 10th International Conference on Autonomic Computing (ICAC 13), 279-289, 2013 | 66 | 2013 |
| Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation X Zhang, Z Chang, Y Li, H Wu, J Tan, F Li, B Cui arXiv preprint arXiv:2110.12654, 2021 | 64 | 2021 |
| Towards dynamic and safe configuration tuning for cloud databases X Zhang, H Wu, Y Li, J Tan, F Li, B Cui Proceedings of the 2022 International Conference on Management of Data, 631-645, 2022 | 59 | 2022 |
| Dynamic packet fragmentation for wireless channels with failures PR Jelenković, J Tan Proceedings of the 9th ACM international symposium on Mobile ad hoc …, 2008 | 54 | 2008 |
| Designing low-complexity heavy-traffic delay-optimal load balancing schemes: Theory to algorithms X Zhou, F Wu, J Tan, Y Sun, N Shroff Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017 | 50 | 2017 |
| SparkBench: a spark benchmarking suite characterizing large-scale in-memory data analytics M Li, J Tan, Y Wang, L Zhang, V Salapura Cluster Computing 20, 2575-2589, 2017 | 50 | 2017 |
| Sequential cooperation between map and reduce phases to improve data locality X Meng, J Tan, L Zhang US Patent 8,924,978, 2014 | 48 | 2014 |
