alexa Abstract | Effective Load Balancing For Dynamic Resource Allocation in Cloud Computing.
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Resources are dynamic in nature so the load of resources varies with change in Configuration of cloud so the Load Balancing of the tasks in a cloud environment can significantly influence cloud’s performance. A poor scheduling policy may leave many processors idle while a clever one may consume an unduly large portion of the total CPU cycles. In the existing approach we face overhead issue of distributed dispatching of task to resource. In our proposed system our main goal of load balancing is to provide a distributed, low cost, scheme that balances the load across all the processors. To improve the global throughput of cloud resources, effective and efficient load balancing algorithms are fundamentally important. Various strategies, algorithms and policies have been proposed, implemented and classified for implementing Load balancing in Cloud computing environment. In this paper, we present a combination of algorithm called ACBLA with queue algorithm applied to efficiently schedule computation jobs among processing resources onto the cloud datacenters with less communication overhead.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): K Prasanna Kumar, S.Arun Kumar, Dr Jagadeeshan

Keywords

Load Balancing, Communication overhead, Resource Allocation, ACBLA, Scientific Computing

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords