Title :
Improving Energy Efficiency of Web Servers by Using a Load Distribution Algorithm and Shutting Down Idle Nodes
Author :
Kai Chen ; Lenhardt, Jorg ; Schiffmann, Wolfram
Author_Institution :
Fac. of Math. & Comput. Sci., FernUniv. in Hagen, Hagen, Germany
Abstract :
These years energy consumption has become the main constraint for the further improvement of computing ability of data centers. In this work, the energy efficient resource management strategies for web servers (one typical class of data centers) are discussed. We firstly introduce the daily pattern of requests sent to web servers which indicates that a simple off-line resource provisioning method would-be effective for web servers. Then, the energy efficiency of two load distribution algorithms are compared by replaying subset of a real-world Wikipedia trace in our local web service environment. The results show that, compared with the relative load distribution (RLB) algorithm, the adaptive load distribution (ALD) algorithm proposed in our previous work is more energy efficient. Finally, we demonstrate a potential that much energy can be saved by shutting down the idle nodes.
Keywords :
Web services; Web sites; computer centres; energy consumption; file servers; power aware computing; resource allocation; ALD; RLB; Web servers; Web service environment; adaptive load distribution algorithm; daily requests pattern; data centers; energy consumption; energy efficiency; energy efficient resource management strategies; idle node shut down; load distribution algorithm; off-line resource provisioning method; real-world Wikipedia trace; relative load distribution algorithm; Electronic publishing; Encyclopedias; Resource management; Web servers; Energy efficiency; Load distribution; Shutting down idle nodes; Web service;
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
DOI :
10.1109/CCGrid.2015.75