DocumentCode :
3056914
Title :
Evaluation of the Improved EPCLB Algorithm for Distributed Applications
Author :
Enokido, Tomoya ; Takizawa, Makoto
Author_Institution :
Rissho Univ., Tokyo, Japan
fYear :
2011
fDate :
Nov. 30 2011-Dec. 2 2011
Firstpage :
496
Lastpage :
501
Abstract :
The extended power consumption laxity-based (EPCLB) algorithm is discussed for reducing the total power consumption of servers in general type applications in this paper. However, each time a load balancer receives a new request, the load balancer has to collect the state on computation and transmission laxities of processes and traffic in each server and estimate the power consumption to perform the request. Since the state of each server might be changed during estimation to perform the request, it is difficult to correctly estimate the power consumption. In this paper, we improve the EPCLB algorithm so that the total power consumption of servers and the communication overhead of a load balancer can be reduced. We evaluate the improved EPCLB (IEPCLB) algorithm compared with the EPCLB and round-robin (RR) algorithms.
Keywords :
client-server systems; energy consumption; network servers; power aware computing; resource allocation; telecommunication traffic; communication overhead; distributed applications; extended power consumption laxity-based algorithm; green IT technology; improved EPCLB algorithm; load balancer; server power consumption reduction; server traffic; transmission laxity; Biological system modeling; Computational modeling; Degradation; Load modeling; Power demand; Servers; Digital ecosystems; Distributed systems; EPCLB algorithm; Green IT technology; Power consumption models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4577-1908-0
Type :
conf
DOI :
10.1109/INCoS.2011.88
Filename :
6132857
Link To Document :
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