Decision theoretic resource management for intelligent environments
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/29673 |
| _version_ | 1811075934985388032 |
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| author | Kochman, Robert W. (Robert Walter), 1979- |
| author2 | Howard Shrobe. |
| author_facet | Howard Shrobe. Kochman, Robert W. (Robert Walter), 1979- |
| author_sort | Kochman, Robert W. (Robert Walter), 1979- |
| collection | MIT |
| description | Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. |
| first_indexed | 2024-09-23T10:13:38Z |
| format | Thesis |
| id | mit-1721.1/29673 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:13:38Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/296732019-04-11T06:30:43Z Decision theoretic resource management for intelligent environments Kochman, Robert W. (Robert Walter), 1979- Howard Shrobe. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 51-52). Intelligent environments are becoming more complex, involving greater numbers of more sophisticated devices and agents. As complexity increases, it becomes difficult to build agents that effectively use the resources in their space. Agents may not know which resources are present in a given space, and they are almost certainly do not know which resources are inoperative or being used by other agents. To address this problem, this paper introduces PrefMan, a new resource management system for intelligent environments. To use this system, agents simply request a particular service type and give preferences over resource attributes. T he system keeps track of resources, their types, and their availability, and uses the preferences to intelligently allocate resources to the requesting agent. This paper describes PrefMan in detail and illustrates why it is an effective solution to the resource management problem. by Robert W. Kochman, Jr. M.Eng. 2006-03-24T16:13:59Z 2006-03-24T16:13:59Z 2003 2003 Thesis http://hdl.handle.net/1721.1/29673 53833676 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 52 p. 1477654 bytes 1477461 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Kochman, Robert W. (Robert Walter), 1979- Decision theoretic resource management for intelligent environments |
| title | Decision theoretic resource management for intelligent environments |
| title_full | Decision theoretic resource management for intelligent environments |
| title_fullStr | Decision theoretic resource management for intelligent environments |
| title_full_unstemmed | Decision theoretic resource management for intelligent environments |
| title_short | Decision theoretic resource management for intelligent environments |
| title_sort | decision theoretic resource management for intelligent environments |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/29673 |
| work_keys_str_mv | AT kochmanrobertwrobertwalter1979 decisiontheoreticresourcemanagementforintelligentenvironments |