Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
Adaptive Function to Ensure Robustness of MCMC-based Autonomous Decentralized Control Mechanism against Changing Environment
Yusuke SakumotoMasaki AidaHideyuki Shimonishi
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2016 Volume 24 Issue 6 Pages 887-896


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.

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© 2016 by the Information Processing Society of Japan
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