Journal
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
Volume 24, Issue 6, Pages 1107-1117Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TPDS.2012.283
Keywords
Cloud computing; resource management; virtualization; green computing
Funding
- National Natural Science Foundation of China [61170056]
- National High Technology Research and Development Program (863 Program) of China [2013AA013203]
- National Basic Research Program of China [2009CB320505]
- National Development and Reform Commission
- Digital Resource Security Protection Service Based on Trusted Identity Federation and Cloud Computation SubProject of Information Security Special Project
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Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the touted gains in the cloud model come from resource multiplexing through virtualization technology. In this paper, we present a system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. We introduce the concept of skewness to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. We develop a set of heuristics that prevent overload in the system effectively while saving energy used. Trace driven simulation and experiment results demonstrate that our algorithm achieves good performance.
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