DocumentCode :
653154
Title :
Energy Aware Resource Management for Clusters of Web Servers
Author :
Kiertscher, Simon ; Schnor, Bettina
Author_Institution :
Univ. of Potsdam, Potsdam, Germany
fYear :
2013
fDate :
20-23 Aug. 2013
Firstpage :
148
Lastpage :
156
Abstract :
Web server clusters guarantee high performance and high availability for applications like google and amazon. Typically, over-provisioning is used to guarantee a Service Level Agreement in the case of peak load situations. We present an energy saving mechanism which extends the capabilities of traditional load balancers like for example the Linux Virtual Server (LVS). The energy saving daemon called Cherub, running on the front node of the cluster, turns nodes on and off depending on the current load situation. We evaluate different load determination and forecasting methods to detect the utilization of the back end servers in a test bed using requests from a web server log file of the Wikimedia Foundation. Even for the most challenging situation, i.e. in case of a peak load, LVS enhanced with Cherub saves 92% of the theoretical possible optimum saving, while keeping the service level agreement at 99.4% in the experiment.
Keywords :
Internet; contracts; file servers; power aware computing; resource allocation; Cherub; LVS; Linux virtual server; Web server clusters; Web server log file; Wikimedia foundation; back end servers; energy aware resource management; energy saving daemon mechansim; forecasting methods; front node; load balancers; load determination; service level agreement; Benchmark testing; Encyclopedias; Internet; Measurement; Quality of service; Servers; Switches; cluster of web servers; energy awareness; energy saving; energy-aware techniques; green web server; machine learning; resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.47
Filename :
6682061
Link To Document :
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