A Novel Model for Load Balancing in Cloud Data Center
Siyuan Jing, Kun She · Journal of Convergence Information Technology · 2011
Cloud computing is an emerging computing paradigm and rising fast with its data center’s growth at an unprecedented rate. Although the development tools and techniques for the cloud have been extensively investigated, the load balancing problem has not been comprehensively studied. The traditional techniques do not fit to the cloud data center since the machines in cloud are virtualized. Virtualization has many advantages such as less hardware cost, cooling cost, and more manageability. One of the key benefits is better load balancing by using of VM migration between hosts. To migrate, we must know which virtual machine needs to be migrated and when this relocation has to be done and, moreover, which host must be destined. In this paper, we propose a novel model for this problem based on fuzzy TOPSIS to detect the hotspots and balance load. Finally, we perform experiments to evaluate the model.