IEEE 2013 Transactions on Parallel & Distributed Systems
Technology - Available in Java and Dot net
Abstract—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 multi-dimensional 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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