Paper Info
Title
Fuzzy Logic Control-Based Load Balancing Agent for Distributed RFID Systems
Abstract
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.
Year
DOI
Venue
2008
10.1007/978-3-540-87442-3_81
ICIC (1)
Keywords
Field
DocType
fuzzy logic,rfid systems,mobile agent-based load,load balancing,rfid m,dynamic rfid load,rfid system,control-based load,fuzzy logic control-based load,current rfid system,edge m,w group,intelligent agent,mobile agent,load balance,system performance
Intelligent agent,Network Load Balancing Services,Workload,Computer science,Load balancing (computing),Fuzzy logic,Mobile agent,Real-time computing,Throughput,Distributed computing,Scalability
Conference
Volume
ISSN
Citations 
5226
0302-9743
2
PageRank 
References 
Authors
0.38
6
2
Name
Order
Citations
PageRank
Sung-ho Jang1317.19
Jong Sik Lee27418.95