Content distributing algorithm for replicated Web servers based on market models
A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution is considered to effectively utilize the time and space local properties of access from a client and has been the topic of numerous studies....
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Published in | Electronics & communications in Japan. Part 2, Electronics Vol. 84; no. 11; pp. 9 - 19 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
John Wiley & Sons, Inc
01.11.2001
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Abstract | A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution is considered to effectively utilize the time and space local properties of access from a client and has been the topic of numerous studies. However, maintaining QoS (such as shortening the content obtaining time) in replicated servers when servers are in a congested state has not been considered in these studies. Since replicated servers constitute a resource shared by multiple ISPs (Internet Service Providers), the accesses need to be limited to replicated servers in case of a congested state to maintain the QoS enjoyed by each client. Thus, in this paper, a scheme for determining allocation of access to replicated servers for each content during congestion based on market models is proposed. The analytical and simulation results have confirmed that the proposed method controls the QoS in accordance with the access arrival rate to each content. © 2001 Scripta Technica, Electron Comm Jpn Pt 2, 84(11): 9–19, 2001 |
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AbstractList | A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution is considered to effectively utilize the time and space local properties of access from a client and has been the topic of numerous studies. However, maintaining QoS (such as shortening the content obtaining time) in replicated servers when servers are in a congested state has not been considered in these studies. Since replicated servers constitute a resource shared by multiple ISPs (Internet Service Providers), the accesses need to be limited to replicated servers in case of a congested state to maintain the QoS enjoyed by each client. Thus, in this paper, a scheme for determining allocation of access to replicated servers for each content during congestion based on market models is proposed. The analytical and simulation results have confirmed that the proposed method controls the QoS in accordance with the access arrival rate to each content. Abstract A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution is considered to effectively utilize the time and space local properties of access from a client and has been the topic of numerous studies. However, maintaining QoS (such as shortening the content obtaining time) in replicated servers when servers are in a congested state has not been considered in these studies. Since replicated servers constitute a resource shared by multiple ISPs (Internet Service Providers), the accesses need to be limited to replicated servers in case of a congested state to maintain the QoS enjoyed by each client. Thus, in this paper, a scheme for determining allocation of access to replicated servers for each content during congestion based on market models is proposed. The analytical and simulation results have confirmed that the proposed method controls the QoS in accordance with the access arrival rate to each content. © 2001 Scripta Technica, Electron Comm Jpn Pt 2, 84(11): 9–19, 2001 A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution is considered to effectively utilize the time and space local properties of access from a client and has been the topic of numerous studies. However, maintaining QoS (such as shortening the content obtaining time) in replicated servers when servers are in a congested state has not been considered in these studies. Since replicated servers constitute a resource shared by multiple ISPs (Internet Service Providers), the accesses need to be limited to replicated servers in case of a congested state to maintain the QoS enjoyed by each client. Thus, in this paper, a scheme for determining allocation of access to replicated servers for each content during congestion based on market models is proposed. The analytical and simulation results have confirmed that the proposed method controls the QoS in accordance with the access arrival rate to each content. © 2001 Scripta Technica, Electron Comm Jpn Pt 2, 84(11): 9–19, 2001 |
Author | Nishimura, Kenji Yamamoto, Miki Ikeda, Hiromasa |
Author_xml | – sequence: 1 givenname: Kenji surname: Nishimura fullname: Nishimura, Kenji organization: Department of Communications Engineering, Graduate School of Engineering, Osaka University, Suita, 565-0871 Japan – sequence: 2 givenname: Miki surname: Yamamoto fullname: Yamamoto, Miki organization: Department of Communications Engineering, Graduate School of Engineering, Osaka University, Suita, 565-0871 Japan – sequence: 3 givenname: Hiromasa surname: Ikeda fullname: Ikeda, Hiromasa organization: Department of Communications Engineering, Graduate School of Engineering, Osaka University, Suita, 565-0871 Japan |
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Cites_doi | 10.1016/0169-7552(96)00030-X 10.1016/S0169-7552(97)00032-9 10.1109/4434.580451 10.1016/S0169-7552(97)00041-X |
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Snippet | A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication distribution... Abstract A content distributing algorithm based on market models for a replication distribution scheme of Web contents is proposed. In general, replication... |
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Title | Content distributing algorithm for replicated Web servers based on market models |
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