Optimizing service replication for mobile delay-sensitive applications in 5G edge network

Ivan Farris, Tarik Taleb, Miloud Bagaa, Hannu Flick

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

33 Citations (Scopus)
148 Downloads (Pure)

Abstract

Extending cloud infrastructure to the Network Edge represents a breakthrough to support delay-sensitive applications in next 5G cellular systems. In this context, to enable ultrashort response times, fast relocation of service instances between edge nodes is required to cope with user mobility. To face this issue, proactive service replication is considered a promising strategy to reduce the overall migration time and to guarantee the desired Quality of Experience (QoE). On the other hand, the provisioning of replicas over multiple edge nodes increases the resource consumption of constrained edge nodes and the relevant deployment cost. Given the two conflicting objectives, in this paper we investigate different optimization models for proactive service migration at the Network Edge, which can exploit prediction of user mobility patterns. In particular, we define two Integer Linear Problem optimization schemes, which aim at respectively minimizing the QoE degradation due to service migration, and the cost of replicas' deployment. Performance evaluation shows the effectiveness of our proposed solutions.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
PublisherIEEE
Number of pages6
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 28 Jul 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications - Paris, France
Duration: 21 May 201725 May 2017

Publication series

Name IEEE International Conference on Communications
PublisherIEEE
ISSN (Print)1550-3607
ISSN (Electronic)1938-1883

Conference

ConferenceIEEE International Conference on Communications
Abbreviated titleICC
CountryFrance
CityParis
Period21/05/201725/05/2017

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