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A comparative study and analysis of agent based monitoring and fuzzy load balancing in distributed systems

机译:分布式系统中基于Agent的监控与模糊负载均衡的比较研究与分析

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Load balancing algorithms are designed to achieve efficient resource utilisation in large-scale distributed systems. The primary goal of designing load balancing algorithms is to balance the overall workload among all the nodes in distributed systems to improve the performance. This paper presents an in-depth study and detailed comparative analysis of different load monitoring and balancing algorithms employing fuzzy logic and mobile agents. A detailed qualitative as well as quantitative analysis of algorithmic performances is included. The analytical survey presented in this paper would enable understanding of applications of different algorithms under different computing environments. Furthermore, this paper proposes a hybrid architecture combining fuzzy logic and mobile agents for load balancing and monitoring in distributed systems.
机译:负载平衡算法旨在在大规模分布式系统中实现有效的资源利用。设计负载平衡算法的主要目标是平衡分布式系统中所有节点之间的总体工作负载,以提高性能。本文对使用模糊逻辑和移动代理的不同负载监视和平衡算法进行了深入的研究和详细的比较分析。包括对算法性能的详细定性和定量分析。本文介绍的分析调查将有助于理解不同计算环境下不同算法的应用。此外,本文提出了一种结合了模糊逻辑和移动代理的混合体系结构,用于分布式系统中的负载平衡和监视。

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