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Hybrid Architecture for Autonomous Load Balancing in Distributed Systems based on Smooth Fuzzy Function

机译:基于光滑模糊函数的分布式自治负载均衡混合体系结构。

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Due to the rapid advancements and developments in wide area networks and powerful computational resources, the load balancing mechanisms in distributed systems have gained pervasive applications covering wired as well as mobile distributed systems. In large-scale distributed systems, sharing of distributed resources is required for enhancing overall resource utilization. This paper presents a comprehensive study and detailed comparative analysis of different load balancing algorithms employing fuzzy logic and mobile agents. We have proposed a hybrid architecture for integrated load balancing and monitoring in distributed computing systems employing fuzzy logic and autonomous mobile agents. Furthermore, we have proposed a smooth and composite fuzzy membership function in order to model fine grained load information in a system. The simulation study and a detailed qualitative as well as quantitative analysis of algorithmic performances are presented. Lastly, a deployment environment is described.
机译:由于广域网的快速进步和发展以及强大的计算资源,分布式系统中的负载平衡机制已获得广泛应用,涵盖了有线以及移动分布式系统。在大规模分布式系统中,需要共享分布式资源以提高整体资源利用率。本文对使用模糊逻辑和移动代理的不同负载平衡算法进行了全面的研究和详细的比较分析。我们已经提出了一种混合体系结构,用于采用模糊逻辑和自主移动代理的分布式计算系统中的集成负载平衡和监视。此外,为了对系统中的细粒度负荷信息进行建模,我们提出了一种平滑的复合模糊隶属函数。给出了仿真研究,并对算法性能进行了详细的定性和定量分析。最后,描述了部署环境。

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