Auto-Scaling to Minimize Cost and Meet Application Deadlines in Cloud Workflows M Mao, M Humphrey SC '11 Proceedings of 2011 International Conference for High Performance …, 2011 | 758 | 2011 |
A Performance Study on the VM Startup Time in the Cloud M Mao, M Humphrey Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, 423 - 430, 2012 | 716 | 2012 |
Cloud auto-scaling with deadline and budget constraints M Mao, J Li, M Humphrey 2010 11th IEEE/ACM International Conference on Grid Computing, 41-48, 2010 | 431 | 2010 |
Early observations on the performance of Windows Azure Z Hill, J Li, M Mao, A Ruiz-Alvarez, M Humphrey Proceedings of the 19th ACM International Symposium on High Performance …, 2010 | 204 | 2010 |
Scaling and scheduling to maximize application performance within budget constraints in cloud workflows M Mao, M Humphrey 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 131 | 2013 |
Resource provisioning in the cloud: An exploration of challenges and research trends M Mao, M Humphrey Handbook of Research on Architectural Trends in Service-Driven Computing …, 2014 | 4 | 2014 |
Data based application partitioning and workload balance in distributed environment X Yang, M Mao, X Wang 2006 International Conference on Software Engineering Advances (ICSEA'06), 43-43, 2006 | 4 | 2006 |
Cloud auto-scaling with deadline and budget constraints M Mao, M Humphrey School of Engineering and Applied Science, University of Virginia …, 2012 | 3 | 2012 |
Resource Provisioning in the Cloud M Mao, M Humphrey | | 2016 |
Early observations on the performance of Windows Azure. I Brandic, I Raicu, Z Hill, J Li, M Mao, A Ruiz-Alvarez, M Humphrey Scientific Programming 19, 2011 | | 2011 |