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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 3, MARCH 2015

Task Scheduling in Federated Cloud by Multilevel Queue based on Genetic Algorithm

Dr.M.Srivenkatesh, K,Vanitha

DOI: 10.17148/IJARCCE.2015.43106

Abstract: Federated Cloud computing is one of the upcoming latest new computing paradigm where applications and data services are provided by multiple cloud providers over the Internet. Today�s some of the business organizations use federated cloud environment. The Task management is the important role in federated cloud computing systems. Task scheduling problems are which relate to the efficiency of the whole federated cloud computing facilities. The main focus is to study various problems, issues and types of scheduling in cloud computing. We propose Multi level Queue Task Scheduling Algorithm includes proposed Priority Based Round-Robin Task scheduling algorithm and task scheduling based on genetic algorithm for federated cloud computing environment.



Keywords: Cloud computing, dynamic scheduling, Genetic Algorithm, optimization

How to Cite:

[1] Dr.M.Srivenkatesh, K,Vanitha, “Task Scheduling in Federated Cloud by Multilevel Queue based on Genetic Algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.43106