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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

A Distributed Shared Memory Cluster Architecture With Dynamic Load Balancing

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Author Minakshi Tripathy, C.R. Tripathy
ISSN 2079-8407
On Pages 231-240
Volume No. 3
Issue No. 2
Issue Date February 01, 2012
Publishing Date February 01, 2012
Keywords Block Data Layout, Data Locality, Task Distribution, Master-Slave Paradigm, Work Stealing.


Abstract

This paper proposes distributed shared memory cluster architecture with load balancing. The architecture is based on dynamic task scheduling approach for distribution and assignment. It enhances the performance of communication across clusters for data access. The proposed dynamic load balancing model uses the concept of work stealing, which intelligently balances the load among different nodes. The work stealing consistently provides higher system utilization when many jobs are running with varying characteristics. This results in efficient use of the system. The performance analysis shows the proposed architecture to outperform the previously proposed distributed shared memory clusters in terms of scalability and efficiency.  

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