Cluster Computing

, Volume 18, Issue 4, pp 1331–1350 | Cite as

Harvesting idle CPU resources for desktop grid computing while limiting the slowdown generated to end-users

  • Eduardo Rosales
  • Germán Sotelo
  • Antonio de la Vega
  • César O. Díaz
  • Carlos E. Gómez
  • Harold Castro


We address the challenge of both harvesting idle CPU resources on off-the-shelf desktops donated to Desktop Grid Computing while at once limiting the slowdown generated to the resource owner, also known as end-user, to customized values. In this context, slowdown is studied as the increase in completion times of end-user tasks while a Desktop Grid harvests idle CPU resources by executing CPU intensive workloads. To achieve this, we deploy two Desktop Grids, one virtualization-based (UnaCloud) and one agent-based (BOINC). We then quantify the slowdown generated to simultaneously-running, end-user tasks. The results show that dynamic performance and energy-efficient technologies, specifically overclocking features, directly affect the slowdown generated to the end-user when incorporated into the processor used by the Desktop Grid. Furthermore, we propose, implement, and test a first set of resource allocation policies for the BOINC client in order to effectively harvest idle CPU resources while avoiding to exceed a customizable slowdown limit.


Desktop grid computing Volunteer computing Slowdown Overclocking BOINC UnaCloud 


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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Eduardo Rosales
    • 1
  • Germán Sotelo
    • 1
  • Antonio de la Vega
    • 1
  • César O. Díaz
    • 1
  • Carlos E. Gómez
    • 1
    • 2
  • Harold Castro
    • 1
  1. 1.Systems and Computing Engineering Department, School of EngineeringUniversidad de los AndesBogotáColombia
  2. 2.Universidad del QuindioArmeniaColombia

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