Efficient Task Scheduling Based on Dynamic Pre Allocation with Self Adaptive Ant Colony Optimization Method for Cloud Computing

Rahul Upadhyay , Prof. Umesh Lilhore

Cloud computing, task scheduling, load balancing, Ant colony, DPSAACO, Round robin

Cloud computing is a new and innovative technology which serves computing resources on pay and use concepts. Cloud computing technology supports homogeneous as well as heterogeneous environments which attract cloud users to work and utilizes its various services such as PaaS, IaaS and SaaS. Cloud computing provides optimum utilization of computing resources in affordable cost, which attracts cloud users. Day by day sizes of cloud users and cloud services are getting increase rapidly. To serve computing resources and cloud services in efficient manner to cloud user is a challenging task for cloud service providers. Load balancing and task scheduling methods plays a vital role in load distribution for cloud service provider. Various types of load balancing methods are suggested by different cloud researchers. In this research paper we are presenting a dynamic pre allocation with self adaptive ant colony optimization method for cloud computing. Proposed DPSAACO uses efficient task scheduling based on hybrid concept of load balancing. Proposed DPSAACO method and existing round robin and ant colony optimization methods are implemented on cloud sim simulator and various performance comparison are calculated such as makespan, total response time and waiting time. A simulation result clearly shows that our proposed method performs outstanding over existing method.

Published Paper   E-Certificate

"Efficient Task Scheduling Based on Dynamic Pre Allocation with Self Adaptive Ant Colony Optimization Method for Cloud Computing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 2, page no.29 - 34, February-2017, Available :https://ijsdr.org/papers/IJSDR1702008.pdf

Volume 2 Issue 2, February-2017

Pages : 29 - 34

Paper Reg. ID: IJSDR_170037

Published Paper Id: IJSDR1702008

Downloads: 000347054

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1702008

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1702008

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition