Open AccessImproved Context Aware PSO Task Scheduling in Cloud Computing
Author(s) -
Siva Rama Krishna B.,
Sreenivasa Reddy E.
Publication year - 2022
Publication title -
webology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 18
ISSN - 1735-188X
DOI - 10.14704/web/v19i1/web19244
Subject(s) - cloud computing , computer science , provisioning , scalability , distributed computing , scheduling (production processes) , schedule , task (project management) , heuristic , set (abstract data type) , mathematical optimization , artificial intelligence , database , operating system , mathematics , engineering , systems engineering , programming language
One of the major advantages of switching to the clouds is the scalability ability of the applications. Contrary to the grids, the ability to scale the cloud resources allows their real-time provisioning so as to meet the application constraints Generation of optimal schedule for given set of tasks and machines. Different experiments show that although having an optimum solution is almost impossible but having a sub-optimal solution using heuristic algorithms seems possible. In this paper, we propose a Context Aware PSO Task Scheduling scheme to analyze various scenarios with different parameters in cloud computing system corresponding to APSO In each scenario, we change one parameter and keep other parameters constant.