Autonomous control method using AI planning for energy-efficient network systems

Kouta Awahara, Satoru Izumi, Toru Abe, Takuo Suganuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose autonomous control methods to reduce the energy consumption of network systems. Increasingly, the share of energy consumption of network systems compared to the total power consumption of office buildings and the like is increasing. Green ICT has become a pressing issue. Conventional green computing methods for network systems have emphasized reduction of the energy consumption of individual devices. However, operation controls that are system-wide, incorporating measures for servers, network equipment, air-conditioners, etc., are expected to improve energy efficiency. In this paper, we propose a method that realizes reduction in the energy consumption of the entire network systems by controlling each component autonomously based on actual network system usage.

Original languageEnglish
Title of host publicationProceedings - 2013 8th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2013
Pages628-633
Number of pages6
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE 8th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2013 - Campiegne, France
Duration: 2013 Oct 282013 Oct 30

Publication series

NameProceedings - 2013 8th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2013

Other

Other2013 IEEE 8th International Conference on Broadband, Wireless Computing, Communication and Applications, BWCCA 2013
CountryFrance
CityCampiegne
Period13/10/2813/10/30

ASJC Scopus subject areas

  • Computer Networks and Communications

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