Distributed simulation: creating distributed simulation using DEVS M&S environments
Proceedings of the 32nd conference on Winter simulation
Advanced Fuzzy Logic Technologies in Industrial Applications (Advances in Industrial Control)
Advanced Fuzzy Logic Technologies in Industrial Applications (Advances in Industrial Control)
RFID Implementation
Load Balancing Method Using Connection Pool in RFID Middleware
SERA '07 Proceedings of the 5th ACIS International Conference on Software Engineering Research, Management & Applications
A Dynamic Load Balancing Approach Based on the Standard RFID Middleware Architecture
ICEBE '07 Proceedings of the IEEE International Conference on e-Business Engineering
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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.