Dynamic and Decentralized Load Balancing Approach in Small-Scale Distributed Systems

R.C., DHARMIK and S.R., SATHE (2017) Dynamic and Decentralized Load Balancing Approach in Small-Scale Distributed Systems. In: Sixth International Conference on Advances in Computing, Control and Networking - ACCN 2017, 25-26 February 2017, Bangkok, Thailand.

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Abstract

To improve the throughput of small-scale distributed systems, workloads have to be evenly distributed among all the computing nodes of distributed systems. As any distributed application, can undergo critical performance issues due to workload imbalances on small scale distributed system and heterogeneity of resources. The main goal to prevent, if possible, the condition where some processors are overloaded with set of jobs while other processors are lightly loaded, moderately loaded, heavily loaded and some may be idle processors. This is due to the characteristics of distributed systems and complex nature of the users job. In this paper we have proposed real-time prototype model for small-scale distributed systems. Dynamic and decentralized load balancing algorithm has been implemented to evenly distribution of jobs among all the computing nodes of small-scale distributed systems through which to minimize execution time, response time, communication latency and maximize throughput, CPU utilization. It is beneficial for all those researches who want to make more enhance and efficient load balancing techniques for real-time distributed systems in near future.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Small-scale distributed systems, Load Balancing, workload, execution time, response time, CPU utilization, Throughput, Communication latency.
Depositing User: Mr. John Steve
Date Deposited: 16 Mar 2019 11:59
Last Modified: 16 Mar 2019 11:59
URI: http://publications.theired.org/id/eprint/543

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