Load Balancing with Task Subtraction of Same Nodes

Ranjan Kumar Mondal, Debabrata Sarddar

Abstract: Cloud computing helps to share data and provide many resources to users. Users pay only for those resources as much they used. Cloud computing stores the data and distributed resources in the open environment. The amount of data storage increases quickly in open environment. So, load balancing is a main challenge in cloud environment. There are several heterogeneous nodes in a cloud computing system. Namely, each node has different capability to execute task; hence, only consider the CPU remaining of the node is not enough when a node is chosen to execute a task. Therefore, how to select an efficient node to execute a task is very important in a cloud computing. In this paper, we propose a new scheduling algorithm that choose a suitable node with its average task. It is very easy way to select an appropriate node. This approach can provide efficient utilization of computing resources and maintain the load balancing in cloud computing environment. 

Keywords:  Cloud Computing, Load Balancing, Distributed System, Threshold.

Title: Load Balancing with Task Subtraction of Same Nodes

Author: Ranjan Kumar Mondal, Debabrata Sarddar

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), SSN 2348-120X (online)

Research Publish Journals

Vol. 3, Issue 4, October 2015 – December 2015

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Load Balancing with Task Subtraction of Same Nodes by Ranjan Kumar Mondal, Debabrata Sarddar