Qiao Zhang
State Key Lab of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, 100876, China
Chuanchang Liu
State Key Lab of Networking and Switching, Beijing University of Posts and Telecommunications, Beijing, 100876, China
ABSTRACT
Cloud computing is becoming the primary source of computing power, which has the advantage of high availability, high flexibility, low cost, dynamic resource sharing. Workload balancing is necessary in cloud computing, aiming at using resources at the most balanced. However, virtualization technology used in cloud computing will generate a lot of virtual resources, which will easily cause workload imbalance in cloud environment, making some computing nodes overburdened while some are unoccupied. So we propose a workload balancing and resource management system, by workload prediction and resource adjustments, workload in each virtual machine can be better balanced. In this study, we focus on the workload prediction module. Experimental results demonstrate that our prediction module can get relatively accurate prediction results, which can make big contribution to the workload balancing and resource management system.
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How to cite this article
Qiao Zhang and Chuanchang Liu, 2013. Workload Prediction in Load Balancing and Resource Management System. Information Technology Journal, 12: 6086-6089.
DOI: 10.3923/itj.2013.6086.6089
URL: https://scialert.net/abstract/?doi=itj.2013.6086.6089
DOI: 10.3923/itj.2013.6086.6089
URL: https://scialert.net/abstract/?doi=itj.2013.6086.6089
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