Jump to : Download | Note | Abstract | BibTex reference | EndNote reference |


Ramon Bertran, Yolanda Becerra, David Carrera, Vicenc Beltran, Marc Gonzalez, Xavier Martorell, Nacho Navarro, Jordi Torres, Eduard Ayguade. Energy accounting for shared virtualized environments under DVFS using PMC-based power models. Future Generation Computer Systems (Impact Factor: 2.229), 28(2):457-468, 2012.


Download paper: Adobe portable document (pdf) PDF

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Note on this paper

Final version: here


Virtualized infrastructure providers demand new methods to increase the accuracy of the accounting models used to charge their customers. Future data centers will be composed of many-core systems that will host a large number of virtual machines (VMs) each. While resource utilization accounting can be achieved with existing system tools, energy accounting is a complex task when per-VM granularity is the goal. In this paper, we propose a methodology that brings new opportunities to energy accounting by adding an unprecedented degree of accuracy on the per-VM measurements. We present a system - which leverages CPU and memory power models based in performance monitoring counters (PMCs) - to perform energy accounting in virtualized systems. The contribution of this paper is threefold. First, we show that PMC-based power modeling methods are still valid on virtualized environments. Second, we show that the Dynamic Voltage and Frequency Scaling (DVFS) mechanism, which commonly is used by infrastructure providers to avoid power and thermal emergencies, does not affect the accuracy of the models. And third, we introduce a novel methodology for accounting of energy consumption in virtualized systems. Accounting is done on a per-VM basis, even in the case where multiple VMs are deployed on top of the same physical hardware, bypassing the limitations of per-server aggregated power metering. Overall, the results for an Intel® Core(TM) 2 Duo show errors in energy estimations <5%. Such an approach brings flexibility to the chargeback models used by service and infrastructure providers. For instance, we are able to detect cases where VMs executed during the same amount of time, present more than 20% differences in energy consumption even only taking into account the consumption of the CPU and the memory

BibTex Reference

   Author = {Bertran, Ramon and Becerra, Yolanda and Carrera, David and Beltran, Vicenc and Gonzalez, Marc and Martorell, Xavier and Navarro, Nacho and Torres, Jordi and Ayguade, Eduard},
   Title = {Energy accounting for shared virtualized environments under DVFS using PMC-based power models},
   Journal = {Future Generation Computer Systems (Impact Factor: 2.229)},
   Volume = {28},
   Number = {2},
   Pages = {457--468},
   Year = {2012}

EndNote Reference [help]

Get EndNote Reference (.ref)

Home | Presentation | Teaching | Research | Related Institutions | News Top

Last update: Jan 2, 2015
Copyright © 2000-2015 Departament d'Arquitectura de Computadors

It has been automatically generated using the bib2html program.