Temperature- Aware Virtual Machine Scheduling in Green Clouds
Vikas Kumar
Vikas Kumar, Computer Science and Applications, School of Mathematics and Computer Applications, Thapar University, Patiala, India.
Manuscript received on May 22, 2013. | Revised Manuscript received on June 19, 2013. | Manuscript published on June 30, 2013. | PP: 119-122 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1728062513/2013©BEIESP
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Abstract: This paper present the temperature- aware virtual machine scheduling in green clouds which is design to maintain the temperature of virtualized cloud system below critical temperature threshold by scheduling VMs according to temperature of node and insures reliable quality of service. High temperature gradients degrade reliability and performance therefore it requires vigorous cooling in order to keep the equipment and the software stable. Moreover, high energy consumption not only increases operational cost, which reduces the profit margin of Cloud providers, but also leads to high carbon emissions which is not friendly for environment. Thus apart from saving energy and money by avoiding huge investment on cooling, it also reduces carbon footprints.
Keywords: Cloud computing, Virtual machine.