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An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems

An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems

Sanjaya Kumar Panda, Swati Mishra, Satyabrata Das
Copyright: © 2017 |Volume: 4 |Issue: 1 |Pages: 18
ISSN: 2334-4598|EISSN: 2334-4601|EISBN13: 9781522515715|DOI: 10.4018/IJRSDA.2017010101
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MLA

Panda, Sanjaya Kumar, et al. "An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems." IJRSDA vol.4, no.1 2017: pp.1-18. http://doi.org/10.4018/IJRSDA.2017010101

APA

Panda, S. K., Mishra, S., & Das, S. (2017). An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems. International Journal of Rough Sets and Data Analysis (IJRSDA), 4(1), 1-18. http://doi.org/10.4018/IJRSDA.2017010101

Chicago

Panda, Sanjaya Kumar, Swati Mishra, and Satyabrata Das. "An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems," International Journal of Rough Sets and Data Analysis (IJRSDA) 4, no.1: 1-18. http://doi.org/10.4018/IJRSDA.2017010101

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Abstract

The growing popularity of Internet Distributed System has drawn enormous attention in business and research communities for handling large number of client requests. These requests are managed by a set of servers. However, the requests may not be equally distributed due to their random nature of arrivals. The optimal assignment of the requests to the servers is a well-known NP-hard problem. Therefore, many algorithms have been proposed to address this problem. However, these algorithms suffer from an excessive number of comparisons. In this paper, a Swapping-based Intra- and inter-Server (SIS) load balancing with padding algorithm is proposed for its solution. The algorithm undergoes a three-phase process to balance the loads among the servers. The proposed algorithm is compared with a client-server load balancing algorithm and the performance is measured in terms of the number of load comparisons and load factor. The simulation outcomes show the efficacy of the proposed algorithm.

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