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Fuzzy Logic Control-Based Load Balancing Agent for Distributed RFID Systems

机译:基于模糊的基于逻辑控制的分布式RFID系统负载平衡代理

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The current RFID system is based on a distributed computing system to process a great volume of tag data. Therefore, RFID M/W should provide load balancing for consistent and high system performance. Load balancing is a technique to solve workload imbalance among edge M/Ws and improve scalability of RFID systems. In this paper, we propose a fuzzy logic control-based load balancing agent for distributed RFID systems. The agent predicts data volume of an edge M/W and evaluates workload of the edge M/W by fuzzy logic control. And, the agent acquires workload information of an edge M/W group to which the edge M/W belongs. Also, the agent adjusts over and under-loaded workload according to a dynamic RFID load balancing algorithm. Experimental results demonstrates that the fuzzy logic control-based load balancing agent provides 95% and 6.5% reductions in overload time and processor usage and 13.7% and 12.2% improvements in throughput and turn around time as compared the mobile agent-based load balancing system.
机译:当前RFID系统基于分布式计算系统来处理大量标签数据。因此,RFID M / W应为负载平衡提供一致和高系统性能。负载平衡是一种解决边缘M / WS之间工作负载不平衡的技术,提高RFID系统的可扩展性。在本文中,我们提出了一种用于分布式RFID系统的模糊逻辑控制的负载平衡剂。代理预测边缘M / W的数据量,并通过模糊逻辑控制评估边缘M / W的工作量。并且,代理获取边缘M / W所属的边缘M / W组的工作负载信息。此外,代理根据动态RFID负载均衡算法调整和欠加载的工作负载。实验结果表明,基于模糊的逻辑控制的负载平衡剂提供了95%和6.5%的过载时间和处理器使用量,吞吐量的提高13.7%和12.2%,而基于移动代理的负载平衡系统相比,吞吐量的改进和转向时间。

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