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Delay performance of resilient cloud services over networks

  • Nokia Siemens Networks
  • Technical University of Munich

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

11 Scopus citations

Abstract

Even though both delay and availability are of high importance for cloud services, it is mostly impossible today to guarantee a certain latency and availability for end-to-end cloud services traversing the telecommunication networks. An enabler is network virtualization with isolated virtual networks and combined control for network and IT resources. In this paper, we introduce two fundamental architectural alternatives in resilience design for cloud services using virtual networks, where in the former, resilience is provided solely by the physical infrastructure provider and in the latter only by the virtual network operator. We show that the resilience design plays a key role in terms of latency of the cloud services. Our simulation results show that the guaranteed maximum delay for the cloud services can differ by more than 90% depending on the implemented resilience design. This can have a big impact on the service performance in large networks especially for today's applications, where each millisecond might count.

Original languageEnglish
Title of host publicationProceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012
Pages512-517
Number of pages6
DOIs
StatePublished - 2012
Event2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012 - Madrid, Spain
Duration: 10 Jul 201213 Jul 2012

Publication series

NameProceedings of the 2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012

Conference

Conference2012 10th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2012
Country/TerritorySpain
CityMadrid
Period10/07/1213/07/12

Keywords

  • Cloud services
  • Combined control for network and IT
  • Latency
  • Network virtualization
  • Resilience

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