Effects of dynamic cloud cluster load on differentiated service availability

Ameen Chilwan, Astrid Undheim, Poul E. Heegaard

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

3 Scopus citations

Abstract

Accredited to the diverse nature of cloud services, there is a need for cloud providers to offer differentiated availability for different service types in their SLAs. This can be achieved by using different redundancy strategies and fault-tolerance techniques. The availability resulting from these techniques is highly dependent upon the load on cloud datacenters and their clusters. This load is dynamic, caused by both variations in demand and failures in servers, network, and other cloud infrastructure. In this paper, the effect of dynamic load in a cloud cluster on the service availability is studied, using analytical models and simulations. The results are thus obtained for different loads and compared among different service classes. The analytical models are not able to grasp the interaction between different classes, and hence a simulation is performed. The results show that the cluster load has a quantifiable effect on service availability, and it increases with decreasing level of priority assigned to a service class.

Original languageEnglish
Title of host publication2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Munich, Germany
Duration: 30 Jul 20122 Aug 2012

Publication series

Name2012 21st International Conference on Computer Communications and Networks, ICCCN 2012 - Proceedings

Conference

Conference2012 21st International Conference on Computer Communications and Networks, ICCCN 2012
Country/TerritoryGermany
CityMunich
Period30/07/122/08/12

Keywords

  • Availability
  • cloud
  • differentiation

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