作者：
Miyazaki, JYokota, HMemberSchool of Information Science
Japan Advanced Institute of Science and Technology Ishikawa-ken Japan 923 Received his B.E. degree from Tokyo Institute of Technology
Tokyo Japan in 1992 and his M.S. degree from Japan Advanced Institute of Science and Technology (JAIST) Ishikawa Japan in 1994. He is a Ph.D. student at School of Information Science JAIST. His research interests include parallel rule base systems active database systems and high performance I/O systems. He is a member of the Institute of Electronics Information and Communication Engineers of Japan and Information Processing Society of Japan.Received his B.E.
M.E. and Dr. of Eng. degrees from Tokyo Institute of Technology in 1980 1982 and 1991 respectively. He joined Fujitsu Ltd. in 1982 and was a researcher at the Institute of New Generation Computer Technology (ICOT) from 1982 to 1986 and at Fujitsu Laboratories Ltd. from 1986 to 1992. He is an Associate Professor of School of Information Science Japan Advanced Institute of Science and Technology (JAIST). HIS research interests include parallel computer architecture for databases and data engineering. He is a member of IPS I.E.I.C.E.JSAIIEEEand ACM.
An implementation method is proposed for parallel production systems on multicomputers, or message-passingcomputers, to speed up execution time. There have been proposed parallel production systems using hash mechani...
详细信息
An implementation method is proposed for parallel production systems on multicomputers, or message-passingcomputers, to speed up execution time. There have been proposed parallel production systems using hash mechanism, but they cause a skewed load distribution problem. To obtain more efficient balance of load, the method addressed here and named clustered parallel production systems (CPPS) adopts two load balancing strategies: hash and demand-driven. Taking account of the cost of termination detection, the execution time of the CPPS and simple hash method are estimated, and implement on an nCube2. The estimation meets the execution results. The CPPS provides much better load balance to improve scalability.
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