Comparison of Load Balancing and Scheduling Algorithms in Cloud Environment
Karthika M. T.1, Neethu Kurian2, Mariya Seby3
1Karthika M.T, Department of Computer Science and Engineering, Vedavyasa Institute of Technology, India.
2Neethu Kurian, Department of Computer Science and Engineering, Vedavyasa Institute of Technology, India.
3Mariya Seby, Department of Computer Science and Engineering, Vedavyasa Institute of Technology, India.
Manuscript received on 11 June 2013 | Revised Manuscript received on 17 June 2013 | Manuscript Published on 30 June 2013 | PP: 164-166 | Volume-3 Issue-1, June 2013 | Retrieval Number: A0937063113/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The importance of cloud computing is increasing nowadays. Cloud computing is used for the delivery of hosted services like reliable, fault tolerant and scalable infrastructure over Internet. A variety of algorithms is used in the cloud environment for scheduling and load balancing, thereby reducing the total cost. The main algorithms usually used include, optimal cloud resource provisioning (OCRP) algorithm and hybrid cloud optimized cost(HCOC)scheduling algorithm These algorithms will formulate the optimized cost of resources in the cloud environment.
Keywords: Cloud Computing, Load Balancing, Scheduling.
Scope of the Article: Graph Algorithms and Graph Drawing