Autonomic performance-per-watt management (APM) of cloud resources and services

Farah Fargo, Cihan Tunc, Youssif Al-Nashif, Salim Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


With the rapid growth of data centers and clouds, the power cost and power consumption of their computing and storage resources become critically important to be managed efficiently. Several research studies have shown that data servers typically operate at a low utilization of 10% to 15%, while their power consumption is close to those at peak loads. With this significant fluctuation in the workloads, an elastic delivery of computing services with an efficient power provisioning mechanism becomes an important design goal. Live workload migrations and virtualization are important techniques to optimize power and performance in large-scale data centers [5], [25] This paper presents an application specific autonomic adaptive power and performance management system that utilizes AppFlow-based reasoning to configure dynamically datacenter resources and workload allocations. This system will continuously monitor the workload to determine the current operating point of both workloads and the virtual machines (VMs) running these workloads and then predict the next operating points for these VMs. This enables the system to allocate the appropriate amount of hardware resources that can run efficiently the VM workloads with minimum power consumption. We have experimented with and evaluated our approach to manage the VMs running RUBiS bidding application. Our experimental results showed that our approach can reduce the VMs' power consumption up to 84% compared to static resource allocation and up to 30% compared to other methods with minimum performance degradation.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 ACM Cloud and Autonomic Computing Conference, CAC 2013
StatePublished - 2013
Event2013 ACM International Conference on Cloud and Autonomic Computing, CAC 2013 - Miami, FL, United States
Duration: Aug 5 2013Aug 9 2013

Publication series

NameACM International Conference Proceeding Series


Other2013 ACM International Conference on Cloud and Autonomic Computing, CAC 2013
Country/TerritoryUnited States
CityMiami, FL


  • AppFlow based reasoning
  • performance-per-watt
  • power and performance management
  • workload characterization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


Dive into the research topics of 'Autonomic performance-per-watt management (APM) of cloud resources and services'. Together they form a unique fingerprint.

Cite this