Mobile Edge Computing Potential in Making Cities Smarter
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.author | Taleb, Tarik | en_US |
dc.contributor.author | Dutta, Sunny | en_US |
dc.contributor.author | Ksentini, Adlen | en_US |
dc.contributor.author | Iqbal, Muddesar | en_US |
dc.contributor.author | Flinck, Hannu | en_US |
dc.contributor.department | Department of Communications and Networking | en |
dc.contributor.groupauthor | Mobile Network Softwarization and Service Customization | en |
dc.contributor.organization | EURECOM | en_US |
dc.contributor.organization | Nokia Bell Labs Finland | en_US |
dc.contributor.organization | London South Bank University | en_US |
dc.date.accessioned | 2018-09-07T12:49:25Z | |
dc.date.available | 2018-09-07T12:49:25Z | |
dc.date.issued | 2017-03 | en_US |
dc.description | | openaire: EC/H2020/723172/EU//5GPagoda | |
dc.description.abstract | This article proposes an approach to enhance users' experience of video streaming in the context of smart cities. The proposed approach relies on the concept of MEC as a key factor in enhancing QoS. It sustains QoS by ensuring that applications/services follow the mobility of users, realizing the "Follow Me Edge" concept. The proposed scheme enforces an autonomic creation of MEC services to allow anywhere anytime data access with optimum QoE and reduced latency. Considering its application in smart city scenarios, the proposed scheme represents an important solution for reducing core network traffic and ensuring ultra-short latency through a smart MEC architecture capable of achieving the 1 ms latency dream for the upcoming 5G mobile systems. | en |
dc.description.version | Peer reviewed | en |
dc.format.extent | 6 | |
dc.format.extent | 38-43 | |
dc.identifier.citation | Taleb, T, Dutta, S, Ksentini, A, Iqbal, M & Flinck, H 2017, ' Mobile Edge Computing Potential in Making Cities Smarter ', IEEE Communications Magazine, vol. 55, no. 3, pp. 38-43 . https://doi.org/10.1109/MCOM.2017.1600249CM | en |
dc.identifier.doi | 10.1109/MCOM.2017.1600249CM | en_US |
dc.identifier.issn | 0163-6804 | |
dc.identifier.issn | 1558-1896 | |
dc.identifier.other | PURE UUID: 44ea52ed-fe17-4537-80c2-07f40f6ef427 | en_US |
dc.identifier.other | PURE ITEMURL: https://research.aalto.fi/en/publications/44ea52ed-fe17-4537-80c2-07f40f6ef427 | en_US |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/33892 | |
dc.identifier.urn | URN:NBN:fi:aalto-201809075001 | |
dc.language.iso | en | en |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/723172/EU//5GPagoda | en_US |
dc.relation.ispartofseries | IEEE COMMUNICATIONS MAGAZINE | en |
dc.relation.ispartofseries | Volume 55, issue 3 | en |
dc.rights | restrictedAccess | en |
dc.title | Mobile Edge Computing Potential in Making Cities Smarter | en |
dc.type | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä | fi |