Reliability-Aware Service Function Chain Provisioning in Mobile Edge-Cloud Networks

dc.contributor.authorLin, Shouxuen
dc.contributor.authorLiang, Weifaen
dc.contributor.authorLi, Jingen
dc.date.accessioned2025-06-10T23:38:39Z
dc.date.available2025-06-10T23:38:39Z
dc.date.issued2020en
dc.description.abstractMobile Edge Computing (MEC) has been envisioning as a promising technology to address limited computing and storage resources in mobile devices. The virtual services provided by the MEC platform are implemented as instances of Virtual Network Functions (VNFs). However, these VNF instances as pieces of software that run in virtual machines (VMs) are not always reliable. To provide reliable services for their users while meeting user service reliability requirements, the service providers of MEC usually adopt the replica policy that deploy a certain number of service replicas for each VNF instance. In this paper, we study reliable service provisioning in an MEC network through redundant placement of instances of VNFs. We assume that each service request consists of a Service Function Chain (SFC) requirement and a service reliability requirement. We formulate a novel reliability-aware service function chain provisioning problem with the aim to maximize the number of requests admitted, while meeting the specified reliability requirement of each admitted request. We first show that the problem is NP-hard, and formulate an ILP solution for the problem when the problem size is small. We then develop a randomized algorithm with a provable approximation ratio and high probability for the problem when the problem size is large, and the achieved approximation ratio is at the expense of moderate computing capacity and reliability constraint violations. We also devise an efficient heuristic for the problem without any resource and requirement constraint violations. We finally evaluate the performance of the proposed algorithms through experimental simulations. Experimental results demonstrate that the proposed algorithms are promising.en
dc.description.sponsorship(c) The violation ratio by varying L. Fig. 3. Capacity and reliability violations by the randomized algorithm. ACKNOWLEDGEMENTS It is acknowledged that the work by Shouxu Lin, Weifa Liang and Jing Li was supported by the Australian Research Council Discovery Project No. DP200101985.en
dc.description.statusPeer-revieweden
dc.identifier.isbn9781728166070en
dc.identifier.issn1095-2055en
dc.identifier.scopus85090557703en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85090557703&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733758000
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en
dc.relation.ispartofICCCN 2020 - 29th International Conference on Computer Communications and Networksen
dc.relation.ispartofseries29th International Conference on Computer Communications and Networks, ICCCN 2020en
dc.relation.ispartofseriesProceedings - International Conference on Computer Communications and Networks, ICCCNen
dc.rightsPublisher Copyright: © 2020 IEEE.en
dc.titleReliability-Aware Service Function Chain Provisioning in Mobile Edge-Cloud Networksen
dc.typeConference paperen
dspace.entity.typePublicationen
local.contributor.affiliationLin, Shouxu; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationLiang, Weifa; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationLi, Jing; School of Computing, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationa383154xPUB16264en
local.identifier.doi10.1109/ICCCN49398.2020.9209732en
local.identifier.pure989c65e0-3e31-4cf7-924b-7cc8d9ec294den
local.identifier.urlhttps://www.scopus.com/pages/publications/85090557703en
local.type.statusPublisheden

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