Evaluating Load Balancing Policies for Performance and Energy-Efficiency

Freek van den Berg, Björn Frits Postema, Boudewijn R.H.M. Haverkort

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)


Nowadays, more and more increasingly hard computations are performed in challenging fields like weather forecasting, oil and gas exploration, and cryptanalysis. Many of such computations can be implemented using a computer cluster with a large number of servers. Incoming computation requests are then, via a so-called load balancing policy, distributed over the servers to ensure optimal performance. Additionally, being able to switch-off some servers during low period of workload, gives potential to reduced energy consumption. Therefore, load balancing forms, albeit indirectly, a trade-off between performance and energy consumption. In this paper, we introduce a syntax for load-balancing policies to dynamically select a server for each request based on relevant criteria, including the number of jobs queued in servers, power states of servers, and transition delays between power states of servers. To evaluate many policies, we implement two load balancers in: (i) iDSL, a language and tool-chain for evaluating service-oriented systems, and (ii) a simulation framework in AnyLogic. Both implementations are successfully validated by comparison of the results.
Original languageEnglish
Title of host publicationProceedings 14th International Workshop Quantitative Aspects of Programming Languages and Systems
PublisherOpen Publishing Association
Number of pages20
Publication statusPublished - Apr 2016
Externally publishedYes
EventInternational Workshop on Quantitative Aspects of Programming Languages and Systems 2016 - Eindhoven, Netherlands
Duration: 2 Apr 20163 Apr 2016
Conference number: 14

Publication series

NameElectronic Proceedings in Theoretical Computer Science
PublisherOpen Publishing Association
ISSN (Print)2075-2180


WorkshopInternational Workshop on Quantitative Aspects of Programming Languages and Systems 2016
Abbreviated titleQAPL 2016
Internet address


  • EWI-27339
  • IR-102548
  • METIS-319466


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