Optimizing the Placement of Data Collection Services on Vehicle Clusters

Kanika Sharma, Bernard Butler, Brendan Jennings, John Kennedy, Radhika Loomba

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

1 Citation (Scopus)

Abstract

Vehicles are an important source of data, with embedded sensors including built-in cameras. Their data can be processed close to where it was generated, using computation and network resources on collaborating vehicles. Processing at the network edge helps to reduce end-to-end service latencies. However, such mobile virtual resource pools require effective management, especially if those resources are to be leased to third-party service providers. We address the problem of service placement on moving, connected, vehicle nodes (V2V) supported by roadside infrastructure (V2I). We formulate a distributed service model and optimize the placement of services, subject to constraints related to node resource capacity, link capacity, distributed application deployment (full deployment, anti-collocation and adjacency constraint) and vehicle mobility.

Original languageEnglish
Title of host publication2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1800-1806
Number of pages7
ISBN (Electronic)9781538660096
DOIs
Publication statusPublished - 18 Dec 2018
Event29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018 - Bologna, Italy
Duration: 09 Sep 201812 Sep 2018

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2018-September

Conference

Conference29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2018
Country/TerritoryItaly
CityBologna
Period09/09/201812/09/2018

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