Title :
Energy Efficient Distributed Systems for Storage Servers
Author :
Inoue, Takuro ; Aikebaier, Ailixier ; Enokido, Tomoya ; Takizawa, Makoto
Author_Institution :
Seikei Univ., Musashino, Japan
fDate :
Nov. 30 2011-Dec. 2 2011
Abstract :
The electric power consumption of servers has to be reduced in information systems in order to realize green societies. In information systems, clients issue requests to servers and the servers spend electric power to handle the requests. We have to reduce the power consumption of servers since servers mainly consume electric power compared with clients. There are computation (CP), communication (CM), and storage (ST) types of applications to be performed on servers. In CP and CM applications, CPU and communication resources are mainly consumed, respectively. In this paper, we consider ST applications where storage drives are manipulated on a server. First, we measure the power consumption of a server to perform types of ST application processes, C, R, and W processes which just compute, read, and write, respectively. Then, we discuss a power consumption model of a server by abstracting most factors dominating the power consumption of the server from the experimental results. Here, the power consumption rate o a server is maximum if at least one process is performed. The maximum power consumption rate of a server depends on types of processes concurrently performed on the server.
Keywords :
client-server systems; disc drives; energy conservation; environmental factors; file servers; information systems; power aware computing; storage area networks; CPU; communication application; computation application; compute process; electric power consumption model; energy efficient distributed systems; green IT technology; green societies; information systems; read process; storage application; storage drives; storage servers; write process; Computational modeling; Continuous wavelet transforms; Drives; Power demand; Schedules; Servers; Digital ecosystems; Green IT technology; Power consumption models; Storage drives;
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4577-1908-0
DOI :
10.1109/INCoS.2011.84