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    Abstract
2016 (Vol. 13, Issue: 8)
Research Article

Agent Based Load Balancing Mechanisms in Federated Cloud

1C.S. Rajarajeswari and 2M. Aramudhan
1Research Scholar, Bharathiyar University, Coimbatore, Tamil Nadu, India
2Department of IT, PKIET, Karaikal, India
 

DOI: 10.19026/rjaset.13.3049
Submitted Accepted Published
July ‎19, ‎2015 August ‎20, ‎2015 October 15, 2016

  How to Cite this Article:

1C.S. Rajarajeswari and 2M. Aramudhan, 2016. Agent Based Load Balancing Mechanisms in Federated Cloud.  Research Journal of Applied Sciences, Engineering and Technology, 13(8): 632-637.

DOI: 10.19026/rjaset.13.3049

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.13.3049

Abstract:



Cloud computing is one of the recent innovation in the field of information technology, which provides services to user on demand and pay per utilization. Single cloud based service model lacks in performance factors like response time, throughput and deadline missing etc., when workload becomes heavy. To overcome this limitation, federated cloud management broker architecture was proposed. Since cloud traffic is unpredictable and busty in nature, there is a possibility of large number of incoming service requests for processing. Hence the workload varies dynamically, some service providers are overloaded and others may be under loaded. In order to balance this situation, to improve the performance of federated cloud broker architecture, load balancing techniques are incorporated at the place of Broker Manager and brokers. Broker Manager (BM) plays a vital role to select appropriate best broker for computing the incoming service requests. Agent based Round Robin Load Balancing Scheduling (ARRS) is proposed at BM for assigning the service requests among the selected brokers by considering the parameters such as workload and queue size of brokers. Another one called Decentralized Agent based Load Balancing (DALB) technique is proposed at the level of brokers to balance the assigned workload in the way of migrating the requests to the under loaded brokers. The result shows that the proposed load balance based broker architecture provides better performance compared to without load balancing based architecture.

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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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