Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BWCCA.2013.111 | Broadband and Wireless Computing, Communication and Applications |
Keywords | Field | DocType |
energy consumption,autonomous control method,component autonomously,actual network system usage,energy-efficient network systems,network equipment,network system,total power consumption,ai planning,green ict,entire network system,energy efficiency,computer networks,air conditioning,energy conservation,green computing | Energy conservation,Green computing,Efficient energy use,Computer science,Networking hardware,Server,Computer network,Energy consumption,Automated planning and scheduling,Intelligent computer network,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kouta Awahara | 1 | 0 | 0.34 |
| Satoru Izumi | 2 | 36 | 6.80 |
| Toru Abe | 3 | 13 | 3.79 |
| Takuo Suganuma | 4 | 341 | 61.14 |