Please use this identifier to cite or link to this item:
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.
Rights: fechado
Identifier DOI: 10.1109/IISWC.2011.6114200
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
2-s2.0-84856188260.pdf59.61 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.