Title :
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment
Author :
Zhen Xiao ; Weijia Song ; Qi Chen
Author_Institution :
Dept. of Comput. Sci., Peking Univ., Beijing, China
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 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.
Keywords :
cloud computing; environmental factors; resource allocation; virtual machines; virtualisation; application demand; cloud computing environment; dynamic resource allocation; green computing; multidimensional resource utilization; resource usage; skewness concept; virtual machine; virtualization technology; workload type; Algorithm design and analysis; Computational modeling; Green products; Load modeling; Prediction algorithms; Resource management; Servers; Cloud computing; green computing; resource management; virtualization;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
DOI :
10.1109/TPDS.2012.283