Adaptive Function to Ensure Robustness of MCMC-based Autonomous Decentralized Control Mechanism against Changing Environment

• Item type: Journal(1)
• 公開日: 2016-10-15
• タイトル: Adaptive Function to Ensure Robustness of MCMC-based Autonomous Decentralized Control Mechanism against Changing Environment
• タイトル / 言語: en
• タイトル: Adaptive Function to Ensure Robustness of MCMC-based Autonomous Decentralized Control Mechanism against Changing Environment
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文] large-scale and wide-area system, autonomous decentralized control, data center network, virtual machine placement problem, adaptive control
• 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
• 著者所属: Tokyo Metropolitan University
• 著者所属: Tokyo Metropolitan University
• 著者所属: NEC Corporation
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): Tokyo Metropolitan University
• 著者所属(英): en
• 著者所属(英): NEC Corporation
• 著者名: Yusuke, Sakumoto; Masaki, Aida; Hideyuki, Shimonishi
• 著者名(英): Yusuke, Sakumoto; Masaki, Aida; Hideyuki, Shimonishi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In our previous work, we proposed an autonomous decentralized control mechanism (ADCM) to be able to control the probability distribution of a system performance variable on the Markov chain Monte Carlo method. As interesting features of our ADCM, we proved the probability distribution controlled by our ADCM is described by a few macro parameters, and discovered a law between the macro parameters and the external environment of the system in our ADCM. In this paper, on the basis of the law, we design an autonomous decentralized adaptive function to adapt to change in the external environment. This function ensures the robustness of our ADCM against changing environment. We apply our ADCM with the proposed adaptive function to a virtual machine placement problem in data center networks (DCNs). Simulation experiments confirm that the proposed adaptive function effectively deals with several DCN scenarios with changing environment.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.6 (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In our previous work, we proposed an autonomous decentralized control mechanism (ADCM) to be able to control the probability distribution of a system performance variable on the Markov chain Monte Carlo method. As interesting features of our ADCM, we proved the probability distribution controlled by our ADCM is described by a few macro parameters, and discovered a law between the macro parameters and the external environment of the system in our ADCM. In this paper, on the basis of the law, we design an autonomous decentralized adaptive function to adapt to change in the external environment. This function ensures the robustness of our ADCM against changing environment. We apply our ADCM with the proposed adaptive function to a virtual machine placement problem in data center networks (DCNs). Simulation experiments confirm that the proposed adaptive function effectively deals with several DCN scenarios with changing environment.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.6 (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 57, 号 10, 発行日 2016-10-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764