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A Fuzzy Based Equivalent Capacity Estimation Method for Bandwidth Allocation in High-speed Networks
https://ipsj.ixsq.nii.ac.jp/records/11896
https://ipsj.ixsq.nii.ac.jp/records/11896ab8d200f-e1c7-4fea-9496-9c961a6ed517
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Copyright (c) 2001 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Journal(1) | |||||||
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公開日 | 2001-08-15 | |||||||
タイトル | ||||||||
タイトル | A Fuzzy Based Equivalent Capacity Estimation Method for Bandwidth Allocation in High-speed Networks | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | A Fuzzy Based Equivalent Capacity Estimation Method for Bandwidth Allocation in High-speed Networks | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | 論文 | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
資源タイプ | journal article | |||||||
その他タイトル | ||||||||
その他のタイトル | ネットワーク管理 | |||||||
著者所属 | ||||||||
Faculty of Literature and Social Sciences Yamagata University | ||||||||
著者所属 | ||||||||
Faculty of Computer Science and Engineering The University of Aizu | ||||||||
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Faculty of Literature and Social Sciences Yamagata University | ||||||||
著者所属 | ||||||||
Faculty of Engineering Yamagata University | ||||||||
著者所属 | ||||||||
Research Inst | ||||||||
著者所属(英) | ||||||||
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Faculty of Literature and Social Sciences, Yamagata University | ||||||||
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Faculty of Computer Science and Engineering, The University of Aizu | ||||||||
著者所属(英) | ||||||||
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Faculty of Literature and Social Sciences, Yamagata University | ||||||||
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Faculty of Engineering, Yamagata University | ||||||||
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Research Institute of Electrical Communication, Tohoku University | ||||||||
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Research Institute of Electrical Communication, Tohoku University | ||||||||
著者名 |
Leonard, Barolli
× Leonard, Barolli
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著者名(英) |
Leonard, Barolli
× Leonard, Barolli
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | The dynamic nature of high-speed networks posesdifficult traffic control problems when trying to achieveefficient use of network resources. One such problemis the issue of bandwidth management allocation.Because of the statistical multiplexing of all connectionsand the variation of connections bit rates it is importantto evaluate the equivalent capacity of all connections.The purpose of the equivalent capacity is to providea metric to represent the effective bandwidthused by connections and the corresponding effective loadon network links. In order to cope with rapidly changing network conditions traffic control methods for high-speed networks must be adaptive flexible and intelligent for efficient network management.Use of intelligent methods based on fuzzy logic neural networksand genetic algorithms can prove to be efficient for trafficcontrol in high-speed networks.The equivalent capacity estimation is a very important functionfor call admission control. To estimate the equivalentcapacity fluid flow approximation stationary approximationand equivalent capacity method has been proposed.But they make many approximations which result in an overestimate of equivalent capacity.In this paper we propose a fuzzy equivalent capacity estimatorfor bandwidth allocation in high-speed networks.Performance evaluation via simulations shows that proposedfuzzy equivalent capacity estimator has a good equivalent capacityestimation compared with fluid flow and stationary approximations.Furthermore the combination of fuzzy equivalent capacity estimator and stationary approximation give a better estimation compared with Guerin's method. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | The dynamic nature of high-speed networks posesdifficult traffic control problems when trying to achieveefficient use of network resources. One such problemis the issue of bandwidth management allocation.Because of the statistical multiplexing of all connectionsand the variation of connections bit rates, it is importantto evaluate the equivalent capacity of all connections.The purpose of the equivalent capacity is to providea metric to represent the effective bandwidthused by connections and the corresponding effective loadon network links. In order to cope with rapidly changing network conditions,traffic control methods for high-speed networks must be adaptive,flexible, and intelligent for efficient network management.Use of intelligent methods based on fuzzy logic, neural networksand genetic algorithms can prove to be efficient for trafficcontrol in high-speed networks.The equivalent capacity estimation is a very important functionfor call admission control. To estimate the equivalentcapacity, fluid flow approximation, stationary approximationand equivalent capacity method has been proposed.But, they make many approximations,which result in an overestimate of equivalent capacity.In this paper, we propose a fuzzy equivalent capacity estimatorfor bandwidth allocation in high-speed networks.Performance evaluation via simulations shows that proposedfuzzy equivalent capacity estimator has a good equivalent capacityestimation compared with fluid flow and stationary approximations.Furthermore, the combination of fuzzy equivalent capacity estimator and stationary approximation give a better estimation compared with Guerin's method. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AN00116647 | |||||||
書誌情報 |
情報処理学会論文誌 巻 42, 号 8, p. 2167-2175, 発行日 2001-08-15 |
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ISSN | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 1882-7764 |