Willis Lang

According to our database, Willis Lang authored at least 25 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless.

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

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023

Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search.

Olga Poppe, Pablo Castro, Willis Lang, Jyoti Leeka

SIGMOD Rec., September, 2023

Flexible Resource Allocation for Relational Database-as-a-Service.

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

Proc. VLDB Endow., 2023

2022

Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless.

Olga Poppe, Qun Guo, Willis Lang, Pankaj Arora, Morgan Oslake, Shize Xu, Ajay Kalhan

Proc. VLDB Endow., 2022

Tenant Placement in Over-subscribed Database-as-a-Service Clusters.

Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek R. Narasayya

Proc. VLDB Endow., 2022

2021

Toto - Benchmarking the Efficiency of a Cloud Service.

Justin Moeller, Zi Ye, Katherine Lin, Willis Lang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2018

Survivability of Cloud Databases - Factors and Prediction.

Jose Picado, Willis Lang, Edward C. Thayer

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

m-tables: Representing Missing Data.

Bruhathi Sundarmurthy, Paraschos Koutris, Willis Lang, Jeffrey F. Naughton, Val Tannen

Proceedings of the 20th International Conference on Database Theory, 2017

Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database.

Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, Alan Halverson

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud.

Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin

Proc. VLDB Endow., 2016

STeP: Scalable Tenant Placement for Managing Database-as-a-Service Deployments.

Rebecca Taft, Willis Lang, Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, David J. DeWitt

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015

Microsoft azure SQL database telemetry.

Willis Lang, Frank Bertsch, David J. DeWitt, Nigel Ellis

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

Database Optimization in the Cloud: Where Costs, Partial Results, and Consumer Choice Meet.

Willis Lang, Rimma V. Nehme, Ian Rae

Proceedings of the Seventh Biennial Conference on Innovative Data Systems Research, 2015

2014

Towards Multi-Tenant Performance SLOs.

Willis Lang, Srinath Shankar, Jignesh M. Patel, Ajay Kalhan

IEEE Trans. Knowl. Data Eng., 2014

Partial results in database systems.

Willis Lang, Rimma V. Nehme, Eric Robinson, Jeffrey F. Naughton

Proceedings of the International Conference on Management of Data, 2014

2012

Towards Energy-Efficient Database Cluster Design.

Willis Lang, Stavros Harizopoulos, Jignesh M. Patel, Mehul A. Shah, Dimitris Tsirogiannis

Proc. VLDB Endow., 2012

2011

Rethinking Query Processing for Energy Efficiency: Slowing Down to Win the Race.

Willis Lang, Ramakrishnan Kandhan, Jignesh M. Patel

IEEE Data Eng. Bull., 2011

When Free Is Not Really Free: What Does It Cost to Run a Database Workload in the Cloud?

Avrilia Floratou, Jignesh M. Patel, Willis Lang, Alan Halverson

Proceedings of the Topics in Performance Evaluation, Measurement and Characterization, 2011

2010

Dictionary-Based Compression for Long Time-Series Similarity.

Willis Lang, Michael D. Morse, Jignesh M. Patel

IEEE Trans. Knowl. Data Eng., 2010

Energy Management for MapReduce Clusters.

Willis Lang, Jignesh M. Patel

Proc. VLDB Endow., 2010

Wimpy node clusters: what about non-wimpy workloads?

Willis Lang, Jignesh M. Patel, Srinath Shankar

Proceedings of the Sixth International Workshop on Data Management on New Hardware, 2010

2009

On energy management, load balancing and replication.

Willis Lang, Jignesh M. Patel, Jeffrey F. Naughton

SIGMOD Rec., 2009

Towards Eco-friendly Database Management Systems.

Willis Lang, Jignesh M. Patel

Proceedings of the Fourth Biennial Conference on Innovative Data Systems Research, 2009

2008

Scalable Rule-Based Gene Expression Data Classification.

Mark A. Iwen, Willis Lang, Jignesh M. Patel

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

Periscope/SQ: Interactive Exploration of Biological Sequence Databases.

Sandeep Tata, Willis Lang, Jignesh M. Patel

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007