DocumentCode :
2794470
Title :
Empirical Web server power modeling and characterization
Author :
Piga, Leonardo ; Bergamaschi, Reinaldo ; Klein, Felipe ; Azevedo, Rodolfo ; Rigo, Sandro
Author_Institution :
Inst. of Comput., UNICAMP, Campinas, Brazil
fYear :
2011
fDate :
6-8 Nov. 2011
Firstpage :
75
Lastpage :
75
Abstract :
Summary form only given. Commodity processors, which are prevalent in Internet-based data centers, do not have internal sensors for monitoring energy consumption. Such processors usually feature performance counters which can be used to indirectly estimate power consumption [1]. The usual approach in those studies is to derive linear power models based on the usage numbers collected for the processor sub-components such as caches and branch predictor. These models are usually targeted to CPU-bound applications which need more CPU performance counter parameters and display high CPU usage most of time. On a Web server environment, the applications are mostly I/O-bound which creates non-linear effects among server statistics of performance and power, making these models less suitable for Web servers. This paper presents a new approach for power models for Web servers, based on ranges of CPU usage values and performance server statistics. This new method softens non-linear relationship between server statistics and power consumption on linear power models improving their accuracy.
Keywords :
Internet; file servers; microprocessor chips; power aware computing; CPU usage value; Internet-based data centers; Web server characterization; Web server power modeling; branch predictor component; cache component; commodity processors; energy consumption monitoring; performance counters; performance server statistics; Accuracy; Computational modeling; High definition video; Program processors; Random access memory; Web servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Workload Characterization (IISWC), 2011 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4577-2063-5
Electronic_ISBN :
978-1-4577-2062-8
Type :
conf
DOI :
10.1109/IISWC.2011.6114200
Filename :
6114200
Link To Document :
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