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Title |
Cooperation Model for Object Group using Load Balancing |
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Author |
Romeo Mark A. Mateo, Insook Yoon, Jaewan Lee |
| Citation |
Vol. 6 No. 12 pp. 138-147 |
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Abstract |
Currently, object implementations facilitate object group model to organize and manage efficiently the object services. In addition to the complexity of implementing the object groups, researchers also considers the quality of service (QoS) by various means such as replicating the services within the system. Load balancing scheme is necessary for efficient load distributions within the replicas. Two methods commonly used which are the round-robin and least load algorithms where each concerns are fast response time and efficient load distribution, respectively. On the other hand, researchers focus on adaptive load distribution where it considers both. However, object groups require the interaction of each component to cooperate in implementing the efficient load balancing. This research proposes a cooperation model for object groups to implement the load balancing. Each component from the object group is designed to coordinate in the load balancing. The adaptive scheme is based on two algorithms which are the round robin and the proposed fuzzy least load. Fuzzy least load algorithm is used to determine the least loaded object processed in the fuzzy system. For optimizing the proposed algorithm, the fuzzy sets are trained from the previous data. The efficiency of load distribution is measured by means of calculating the total client request completion time. |
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Keywords |
Distributed object groups, load balancing, fuzzy logic, neuro-fuzzy system. |
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