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