Open AccessDeadline Constrained based Resource Allocation in Cloud Environment
Author(s) -
N. Malarvizhi,
J. Aswini,
T. Kumanan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1272.109119
Subject(s) - computer science , cloud computing , scheduling (production processes) , distributed computing , task (project management) , time constraint , real time computing , operating system , mathematical optimization , mathematics , management , political science , law , economics
Cloud computing faces a challenge of handling huge amounts of data. The users keep on pushing the data without knowing the challenge in increased storage. Task Scheduling deals with allocating the task to a respective resource pool on a demand basis. Approaches have been built that handle requests from users with deadlines on the amount of request that can be handled. It is important to understand that the mechanism is available to handle the deadlines. The experimental results show that the proposed algorithm produces remarkable performance improvement rate on the total execution cost and total transfer time under meeting the deadline constraint. In view of the experimental results, the proposed algorithm provides a better-quality scheduling solution that is suitable for scientific application task execution in the cloud computing environment.