LDMA: Load balancing using decentralized decision making mobile agents

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Abstract

This paper introduces a new load balancing algorithm, called LDMA (Load balancing using Decentralized decision making Mobile Agents), which distributes load among clustered web servers connected in a mesh topology, by a communications network and compares its performance with other load balancing algorithm: MALD (Mobile Agent based LoaD balancing). Architecture is developed for the same and all necessary attributes such as load deviation, system throughput and response time incurred as a result of the work are dealt with. In past works, a centralized decision making algorithm was used for dispatching requests to web servers in the distributed client/server environment. In the proposed approach, a decentralized decision making algorithm is used for distributing requests among web servers. The simulator is developed in C++ and its performance is evaluated. The analysis shows that LDMA is better than centralized decision making load balancing algorithms. © Springer-Verlag Berlin Heidelberg 2006.

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APA

Aramudhan, M., & Uthariaraj, V. R. (2006). LDMA: Load balancing using decentralized decision making mobile agents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3994 LNCS-IV, pp. 388–395). Springer Verlag. https://doi.org/10.1007/11758549_56

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