International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org

Call for Paper, Published Articles, Indexing Infromation Comparison of Highest Response Ratio Next Algorithm with First Come First Served in a Cloud Computing , Authors : RAKESH KUMAR SANODIYA, DR. VARSHA SHARMA, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 3, Issue 10, October 2014

Title:
Comparison of Highest Response Ratio Next Algorithm with First Come First Served in a Cloud Computing
Author Name:
RAKESH KUMAR SANODIYA, DR. VARSHA SHARMA
Abstract:
ABSTRAC “Cloud computing” is a term, which involves virtualization, distributed computing, networking, software and Web services. This new paradigm has experienced a fantastic rise in recent years. Because of itsinfancy, it remains a model to be developed. In particular, it must offer the same features of services than traditional systems. The cloud computing is large distributed systems that employ distributed resources to deliver a service to end users by implementing several technologies. Hence providing acceptable response time for end users, presents a major challenge for cloud computing. Virtual machine (VM) is a key component of cloud computingtechnology. Therefore developing an optimal scheduling mechanism for balancing VM operations at cloud computing framework is an intriguing issue for cloud computing service performance.Load balancing is the method of distributing the load among all the processors or every node in the system so that every node or processor gets equal amount of load at any instant of time.In view of the load balancing problem in VM resources scheduling, this paper presents a scheduling strategy on load sharing of VM resources based on Load management algorithm as well as it also provides simulated results based on the scheduling algorithm like FCFS and HRRN algorithms. Our algorithm maintains the state of all compute nodes, and based on utilization percentages, decides the number of compute nodes that should be operating. We show that our Load management algorithm provides adequate availability to compute node resources while decreasing the overall power consumed by the local cloud as compared to using any other load balancing techniques that are power aware. Keywords:-Cloud Computing, HRRN, FCFS, Load Balancing, Task, Scheduling, Cloud Storage, Replications, VM.
Cite this article:
RAKESH KUMAR SANODIYA, DR. VARSHA SHARMA , " Comparison of Highest Response Ratio Next Algorithm with First Come First Served in a Cloud Computing " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 3, Issue 10, October 2014 , pp. 014-018 , ISSN 2319 - 4847.
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