| 摘要 |
A system and a method for balancing load based on fuzzy grouping are provided to select the fittest server by monitoring a load state of each server in real-time, to distribute the load efficiently/stably by dynamically allocating the load to the servers, and reduce message overhead among the servers by allocating task to the server of the smallest load state. A load monitor(103) monitors load information of each server object(102) in real-time by each group. A fuzzy load balancer(104) infers service priority by using the collected load information. A global scheduler(105) allocates the task to the fittest server object based on the inferred service priority. The load monitor periodically transmits the collected load information to the fuzzy load balancer. The service priority is inferred based on a fuzzy rule. The fuzzy rule is defined by using CPU time usage and memory usage collected from each server object as an input value.
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