1997 Fiscal Year Final Research Report Summary
Secretary Model in Electronic Office Environment
| Project/Area Number |
07458072
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報システム学(含情報図書館学)
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| Research Institution | Nagoya University |
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Principal Investigator |
ASAKURA Koichi Nagoya Univ., Dept.of Information Eng., Research Associate, 工学研究科, 助手 (80273283)
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| Co-Investigator(Kenkyū-buntansha) |
SAGAWA Yuuji Nagoya Univ., Dept.of Information Eng., Assistant Professor, 工学研究科, 講師 (90242833)
WATANABE Toyohide Nagoya Univ., Dept.of Information Eng., Professor, 工学研究科, 教授 (80093342)
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| Project Period (FY) |
1995 – 1997
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| Keywords | event handler / task manager / task scheduler / task combination / task class / distributed processes / coarse grain process / similarity knowledge |
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| Research Abstract |
The objective in this research is to first analyze the properties and structures of various types of processing requests and then develop office-oriented information system which can execute the requests effectively on the basis of the analysis result. With a view to attaining this objective, we propose an architectural framework of this system, whose modules are the event handler, task manager and task scheduler. The event handler decomposes user-dependent requests and system-driven requests systematically and then generates a set of executable related tasks. The task manager checks up their similarity among tasks of the same and/or different requests and then manages two or more related tasks into one newly integrated task if the similarity can be just observed. Also, the task scheduler controls the execution order of tasks according to the execution situations of other tasks or the usabilities of several computation resources. The event handler and task manager generate and schedule the task execution orders with respect to the properties of requests or stes of tasks, while the task scheduler schedules and controls task execution orders in accordance with task execution environments within the scheduling order, which is defined statically in the previous phases.
Under such a framework, we made several following subjects clear : the task properties, relationships among task classes, processing knowledge about generation of tasks ; similarity computation method among related tasks, task combination method ; task execution control method ; the granularity estimation method of distributed processes, process generation method ; and resource allocation method.
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