Empirical Web Server Power Modeling And Characterization

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.75IEEE Comput. Soc. Tech. Comm. Comput. Archit.,IEEE Computer Society,IEEE,hp,AMDIsci, C., Martonosi, M., Runtime power monitoring in high-end processors: Methodology and empirical data (2003) MICRO 36: Proceedings of the 36th Annual IEEE/ACM International Symposium on Microarchitecture, p. 93. , Washington, DC, USA: IEEE Computer SocietyPiga, L., Bergamaschi, R., Azevedo, R., Rigo, S., Power measuring infrastructure for computing systems (2011) Institute of Computing, University of Campinas, Tech. Rep. IC-11-09, , http://www.ic.unicamp.br/~reltech/2011/11-09.pdf, Marc