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Willis Lang
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- affiliation: University of Wisconsin, USA
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2020 – today
- 2024
- [c15]Olga Poppe, Pankaj Arora, Sakshi Sharma, Jie Chen, Sachin Pandit, Rahul Sawhney, Vaishali Jhalani, Willis Lang, Qun Guo, Anupriya Inumella, Sanjana Dulipeta Sridhar, Dheren Gala, Nilesh Rathi, Morgan Oslake, Alexandru Chirica, Sarika Iyer, Prateek Goel, Ajay Kalhan:
Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless. SIGMOD Conference Companion 2024: 227-240 - 2023
- [j11]Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek R. Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois:
Flexible Resource Allocation for Relational Database-as-a-Service. Proc. VLDB Endow. 16(13): 4202-4215 (2023) - [j10]Olga Poppe, Pablo Castro, Willis Lang, Jyoti Leeka:
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search. SIGMOD Rec. 52(3): 41-48 (2023) - 2022
- [j9]Olga Poppe, Qun Guo, Willis Lang, Pankaj Arora, Morgan Oslake, Shize Xu, Ajay Kalhan:
Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless. Proc. VLDB Endow. 15(6): 1279-1287 (2022) - [j8]Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek R. Narasayya:
Tenant Placement in Over-subscribed Database-as-a-Service Clusters. Proc. VLDB Endow. 15(11): 2559-2571 (2022) - 2021
- [c14]Justin Moeller, Zi Ye, Katherine Lin, Willis Lang:
Toto - Benchmarking the Efficiency of a Cloud Service. SIGMOD Conference 2021: 2543-2556
2010 – 2019
- 2018
- [c13]Jose Picado, Willis Lang, Edward C. Thayer:
Survivability of Cloud Databases - Factors and Prediction. SIGMOD Conference 2018: 811-823 - 2017
- [c12]Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, Alan Halverson:
Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database. ICDE 2017: 1111-1116 - [c11]Bruhathi Sundarmurthy, Paraschos Koutris, Willis Lang, Jeffrey F. Naughton, Val Tannen:
m-tables: Representing Missing Data. ICDT 2017: 21:1-21:20 - 2016
- [j7]Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin:
Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud. Proc. VLDB Endow. 9(13): 1245-1256 (2016) - [c10]Rebecca Taft, Willis Lang, Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, David J. DeWitt:
STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments. SoCC 2016: 388-400 - 2015
- [c9]Willis Lang, Rimma V. Nehme, Ian Rae:
Database Optimization in the Cloud: Where Costs, Partial Results, and Consumer Choice Meet. CIDR 2015 - [c8]Willis Lang, Frank Bertsch, David J. DeWitt, Nigel Ellis:
Microsoft azure SQL database telemetry. SoCC 2015: 189-194 - 2014
- [j6]Willis Lang, Srinath Shankar, Jignesh M. Patel, Ajay Kalhan:
Towards Multi-Tenant Performance SLOs. IEEE Trans. Knowl. Data Eng. 26(6): 1447-1463 (2014) - [c7]Willis Lang, Rimma V. Nehme, Eric Robinson, Jeffrey F. Naughton:
Partial results in database systems. SIGMOD Conference 2014: 1275-1286 - 2012
- [j5]Willis Lang, Stavros Harizopoulos, Jignesh M. Patel, Mehul A. Shah, Dimitris Tsirogiannis:
Towards Energy-Efficient Database Cluster Design. Proc. VLDB Endow. 5(11): 1684-1695 (2012) - [c6]Willis Lang, Srinath Shankar, Jignesh M. Patel, Ajay Kalhan:
Towards Multi-tenant Performance SLOs. ICDE 2012: 702-713 - [i2]Willis Lang, Stavros Harizopoulos, Jignesh M. Patel, Mehul A. Shah, Dimitris Tsirogiannis:
Towards Energy-Efficient Database Cluster Design. CoRR abs/1208.1933 (2012) - 2011
- [j4]Willis Lang, Ramakrishnan Kandhan, Jignesh M. Patel:
Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race. IEEE Data Eng. Bull. 34(1): 12-23 (2011) - [c5]Avrilia Floratou, Jignesh M. Patel, Willis Lang, Alan Halverson:
When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud? TPCTC 2011: 163-179 - 2010
- [j3]Willis Lang, Jignesh M. Patel:
Energy Management for MapReduce Clusters. Proc. VLDB Endow. 3(1): 129-139 (2010) - [j2]Willis Lang, Michael D. Morse, Jignesh M. Patel:
Dictionary-Based Compression for Long Time-Series Similarity. IEEE Trans. Knowl. Data Eng. 22(11): 1609-1622 (2010) - [c4]Willis Lang, Jignesh M. Patel, Srinath Shankar:
Wimpy node clusters: what about non-wimpy workloads? DaMoN 2010: 47-55
2000 – 2009
- 2009
- [j1]Willis Lang, Jignesh M. Patel, Jeffrey F. Naughton:
On energy management, load balancing and replication. SIGMOD Rec. 38(4): 35-42 (2009) - [c3]Willis Lang, Jignesh M. Patel:
Towards Eco-friendly Database Management Systems. CIDR 2009 - [i1]Willis Lang, Jignesh M. Patel:
Towards Eco-friendly Database Management Systems. CoRR abs/0909.1767 (2009) - 2008
- [c2]Mark A. Iwen, Willis Lang, Jignesh M. Patel:
Scalable Rule-Based Gene Expression Data Classification. ICDE 2008: 1062-1071 - 2007
- [c1]Sandeep Tata, Willis Lang, Jignesh M. Patel:
Periscope/SQ: Interactive Exploration of Biological Sequence Databases. VLDB 2007: 1406-1409
Coauthor Index
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last updated on 2024-06-03 00:14 CEST by the dblp team
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