ISBN: 978-981-09-5471-0 DOI: 10.18178/wcse.2015.04.009
Task Scheduling in Cloud Environment Using Multi-objective Genetic Algorithm
Abstract— Cloud computing is an emerging computing paradigm with a large collection of
heterogeneous autonomous systems with flexible computational architecture. Task scheduling is an
important step to improve the overall performance of the cloud computing. Task scheduling is also
essential to reduce power consumption and improve the profit of service providers by reducing
processing time. This paper focuses on task scheduling using a multi-objective genetic algorithm
(TSGA) to optimize energy and processing time. The result obtained by TSGA was simulated by an
open source cloud platform (CloudSim). Finally, the results were compared to existing scheduling
algorithms and found that the proposed algorithm (TSGA) provide an optimal balance results for
multiple objectives.
Index Terms— Task Scheduling, Cloud Computing, Multi-Objective Genetic Algorithm, CloudSim, PISA.
R K Jena
Institute of Management Technology, INDIA
Cite: R K Jena, "Task Scheduling in Cloud Environment Using Multi-objective Genetic Algorithm," 2015 The 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering (WCSE 2015-IPCE), pp. 54-59, Moscow, Russia, April 15-17, 2015.