A Hybrid Cloud Load Balancing Model using Partitioning Method and Switching Mechanism

Conference: Fifth International Conference on Advances in Computer Engineering
Author(s): Ashokkumar K, Yamini Priyadharshini R Year: 2014
Grenze ID: 02.ACE.2014.5.507 Page: 79-88

Abstract

Cloud computing is a distributed computing network and has the ability to run a program or application on many connected computers at the same time. One of the main components of the distributed system is the process controller that manages the resources of the system. Load balancing strategy is needed to efficiently utilize the resources among the processors and to minimize the job response time by avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work in a distributed cloud environment. To improve the job response time and resource utilization, the proposed system uses the load balancing strategy which includes a Replica model to update the status of main controller after completing each and every job in a distributed environment. Efficient and Enhanced Algorithm, Dynamic Non-Cooperative (DNCOOPC) Algorithm are used for the cloud partitions in a hybrid cloud to minimize the response time and maximize the overall system performance.

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ACE - 2014