DocumentCode :
658855
Title :
Autonomous Control Method Using AI Planning for Energy-Efficient Network Systems
Author :
Awahara, Kouta ; Izumi, Shintaro ; Abe, Takashi ; Suganuma, Toshio
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
fYear :
2013
fDate :
28-30 Oct. 2013
Firstpage :
628
Lastpage :
633
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.
Keywords :
air conditioning; computer networks; energy conservation; energy management systems; green computing; planning (artificial intelligence); AI planning; air-conditioners; autonomous control method; energy consumption reduction; energy efficiency; energy-efficient network systems; green ICT; green computing method; network equipment; network system usage; office buildings; power consumption; system-wide operation control; Energy consumption; Linear programming; Planning; Servers; Switches; Turning; Green ICT; Network Systems; Planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2013 Eighth International Conference on
Conference_Location :
Compiegne
Type :
conf
DOI :
10.1109/BWCCA.2013.111
Filename :
6690961
Link To Document :
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