Improved Context Aware PSO Task Scheduling in Cloud Computing

Authors

  • B. SivaRama Krishna  Research Scholar, Department of Computer Science and Engineering, ANU, India
  • Dr. T. V. Rao  HoD, Department of Computer Science and Engineering, PVPSIT, India

Keywords:

Cloud Computing; Task Scheduling; Particle Swarm Optimization; Nearest Neighbours

Abstract

Task scheduling problem is one of the most important steps in using cloud computing environment capabilities. Different experiments show that although having an optimum solution is almost impossible but having a sub-optimal solution using heuristic algorithms seems possible. Cloud services can compensate for the resource constraints of mobile devices. However, challenges of utilizing the cloud service by mobile users arise from inherent characteristics such as user mobility and device energy. In this paper, we propose a Context Aware PSO Task Scheduling scheme to monitor the time level and communication quality as a part of a user context information, and develop a resource allocation and scheduling scheme to adapt to the context changes by exploiting the slack time. The objective is to reduce the execution cost of the jobs while meeting the jobs deadlines set by the users

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-10-30

Issue

Volume 3, Issue 7, September-October-2018

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. SivaRama Krishna, Dr. T. V. Rao, " Improved Context Aware PSO Task Scheduling in Cloud Computing , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.476-486, September-October-2018.