Sorted VMs and PMs and Saving state of PM on allocation of VM for the Cloud Infrastructure Services

Anuj Prasher, Rajkumari Bhatia

ABSTRACT Cloud computing has transformed the information technology by providing the on-demand services such as Infrastructure as services (IaaS ), Platform as a services (PaaS) and Software as a Services (SaaS). There is a big demand of powerful Data Centers (DCs) in present time for every e-business. This demand is fulfilled by Infrastructure and Service Providers but large emission of Co2 is of big concern. These carbon emissions are also contributing towards Green House Effect that is heating up the atmosphere temperature. The scheduling algorithm allows the applications to response in shortest time possible by utilizing the available resources very efficiently. These scheduling algorithms have a bigger impact in performance. This work introduces energy efficient scheduling in Sorted VMs and PMs and Saving state of PM on allocation of VM algorithm for the cloud infrastructure that is based on allocation of the interdependent heterogeneous jobs (VMs) to homogeneous resources (PMs). Keywords: - Cloud Computing, Scheduling, Scheduling Algorithms, Energy efficiency, VM allocation, PM allocation

Title:	Sorted VMs and PMs and Saving state of PM on allocation of VM for the Cloud Infrastructure Services
Author Name:	Anuj Prasher, Rajkumari Bhatia
Abstract:	ABSTRACT Cloud computing has transformed the information technology by providing the on-demand services such as Infrastructure as services (IaaS ), Platform as a services (PaaS) and Software as a Services (SaaS). There is a big demand of powerful Data Centers (DCs) in present time for every e-business. This demand is fulfilled by Infrastructure and Service Providers but large emission of Co2 is of big concern. These carbon emissions are also contributing towards Green House Effect that is heating up the atmosphere temperature. The scheduling algorithm allows the applications to response in shortest time possible by utilizing the available resources very efficiently. These scheduling algorithms have a bigger impact in performance. This work introduces energy efficient scheduling in Sorted VMs and PMs and Saving state of PM on allocation of VM algorithm for the cloud infrastructure that is based on allocation of the interdependent heterogeneous jobs (VMs) to homogeneous resources (PMs). Keywords: - Cloud Computing, Scheduling, Scheduling Algorithms, Energy efficiency, VM allocation, PM allocation
Cite this article:	Anuj Prasher, Rajkumari Bhatia , " Sorted VMs and PMs and Saving state of PM on allocation of VM for the Cloud Infrastructure Services " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 11, November 2014 , pp. 269-274 , ISSN 2319 - 4847.
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