Energy efficiency of dynamic management of virtual cluster with heterogeneous hardware

Jukka Kommeri*, Tapio Niemi, Jukka K. Nurminen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)


Cloud computing is an essential part of today’s computing world. Continuously increasing amount of computation with varying resource requirements is placed in large data centers. The variation among computing tasks, both in their resource requirements and time of processing, makes it possible to optimize the usage of physical hardware by applying cloud technologies. In this work, we develop a prototype system for load-based management of virtual machines in an OpenStack computing cluster. Our prototype is based on an idea of ‘packing’ idle virtual machines into special park servers optimized for this purpose. We evaluate the method by running real high-energy physics analysis software in an OpenStack test cluster and by simulating the same principle using the Cloudsim simulator software. The results show a clear improvement, 9–48 % , in the total energy efficiency when using our method together with resource overbooking and heterogeneous hardware.

Original languageEnglish
Pages (from-to)1978–2000
Number of pages23
Issue number5
Early online date24 Oct 2016
Publication statusPublished - May 2017
MoE publication typeA1 Journal article-refereed


  • Cloudsim
  • Energy efficiency
  • Heterogeneous hardware
  • OpenStack
  • Over-commit


Dive into the research topics of 'Energy efficiency of dynamic management of virtual cluster with heterogeneous hardware'. Together they form a unique fingerprint.

Cite this