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Ming Mao
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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
7582011
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
7162012
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
4312010
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
2042010
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
1312013
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
42014
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
42006
Cloud auto-scaling with deadline and budget constraints
M Mao, M Humphrey
School of Engineering and Applied Science, University of Virginia …, 2012
32012
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
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