Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/108223
Type: Artigo de evento
Title: Empirical Web Server Power Modeling And Characterization
Author: Piga L.
Bergamaschi R.
Klein F.
Azevedo R.
Rigo S.
Abstract: 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. © 2011 IEEE.
Editor: 
Rights: fechado
Identifier DOI: 10.1109/IISWC.2011.6114200
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84856188260&partnerID=40&md5=fd1e8d6683f377e3c1f0b4257c1935ca
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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