In this paper, we present the design and implementation of an automated resource management system that achieves a good balance between the two goals i.e. Overload avoidance and Green computing. We develop a resource allocation system that can avoid overload in the system effectively while minimizing the number of servers used. . We introduce the concept of “skewness” to measure the uneven utilization of a server. By minimizing skewness, we can improve the overall utilization of servers in the face of multidimensional resource constraints. . We design a load prediction algorithm that can capture the future resource usages of applications accurately without looking inside the VMs. The algorithm can capture the rising trend of resource usage patterns and help reduce the placement churn significantly.
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