| Energy management for mapreduce clusters W Lang, JM Patel Proceedings of the VLDB Endowment 3 (1-2), 129-139, 2010 | 326 | 2010 |
| Towards multi-tenant performance SLOs W Lang, S Shankar, JM Patel, A Kalhan IEEE Transactions on Knowledge and Data Engineering 26 (6), 1447-1463, 2013 | 136 | 2013 |
| Towards eco-friendly database management systems W Lang, J Patel arXiv preprint arXiv:0909.1767, 2009 | 131 | 2009 |
| Wimpy node clusters: What about non-wimpy workloads? W Lang, JM Patel, S Shankar Proceedings of the Sixth International Workshop on Data Management on New …, 2010 | 98 | 2010 |
| Rethinking query processing for energy efficiency: Slowing down to win the race. W Lang, R Kandhan, JM Patel IEEE Data Eng. Bull. 34 (1), 12-23, 2011 | 91 | 2011 |
| Per-node custom code engine for distributed query processing W Lang, N Teletia, H Kimura, AD Halverson, S Shankar, K Ramachandra US Patent 11,487,771, 2022 | 90 | 2022 |
| On energy management, load balancing and replication W Lang, JM Patel, JF Naughton Acm Sigmod Record 38 (4), 35-42, 2010 | 80 | 2010 |
| Towards energy-efficient database cluster design W Lang, S Harizopoulos, JM Patel, MA Shah, D Tsirogiannis arXiv preprint arXiv:1208.1933, 2012 | 65 | 2012 |
| Partial results in database systems W Lang, RV Nehme, E Robinson, JF Naughton Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 47 | 2014 |
| Partial result classification W Lang, RV Nehme, ER Robinson, JF Naughton US Patent App. 14/294,028, 2015 | 43 | 2015 |
| Dictionary-based compression for long time-series similarity W Lang, M Morse, JM Patel IEEE transactions on knowledge and data engineering 22 (11), 1609-1622, 2009 | 42 | 2009 |
| Custom query execution engine W Lang, N Teletia, H Kimura, AD Halverson, S Shankar, K Ramachandra US Patent App. 14/314,952, 2015 | 41 | 2015 |
| STeP: Scalable tenant placement for managing database-as-a-service deployments R Taft, W Lang, J Duggan, AJ Elmore, M Stonebraker, D DeWitt Proceedings of the Seventh ACM Symposium on Cloud Computing, 388-400, 2016 | 39 | 2016 |
| Moneyball: proactive auto-scaling in Microsoft Azure SQL database serverless O Poppe, Q Guo, W Lang, P Arora, M Oslake, S Xu, A Kalhan Proceedings of the VLDB Endowment 15 (6), 1279-1287, 2022 | 37 | 2022 |
| When free is not really free: What does it cost to run a database workload in the cloud? A Floratou, JM Patel, W Lang, A Halverson Topics in Performance Evaluation, Measurement and Characterization: Third …, 2012 | 36 | 2012 |
| m-tables: Representing missing data B Sundarmurthy, P Koutris, W Lang, J Naughton, V Tannen 20th International Conference on Database Theory (ICDT 2017), 2017 | 31 | 2017 |
| Microsoft azure SQL database telemetry W Lang, F Bertsch, DJ DeWitt, N Ellis Proceedings of the Sixth ACM Symposium on Cloud Computing, 189-194, 2015 | 19 | 2015 |
| Scalable rule-based gene expression data classification MA Iwen, W Lang, JM Patel 2008 IEEE 24th International Conference on Data Engineering, 1062-1071, 2008 | 17 | 2008 |
| Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud W Lang, K Ramachandra, DJ DeWitt, S Xu, Q Guo, A Kalhan, P Carlin Proceedings of the VLDB Endowment 9 (13), 1245-1256, 2016 | 16 | 2016 |
| Periscope/SQ: Interactive Exploration of Biological Sequence Databases. S Tata, W Lang, JM Patel VLDB, 1406-1409, 2007 | 14 | 2007 |
