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- Publisher Website: 10.1109/GLOBECOM42002.2020.9348247
- Scopus: eid_2-s2.0-85101212177
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Conference Paper: Service Migration for Multi-Cell Mobile Edge Computing
Title | Service Migration for Multi-Cell Mobile Edge Computing |
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Authors | |
Keywords | Wireless networks Interference Virtual machining Task analysis Virtualization |
Issue Date | 2020 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308 |
Citation | Proceedings of GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Virtual Conference, Taipei, Taiwan, 7-11 December 2020, p. 1-6 How to Cite? |
Abstract | Mobile-edge computing (MEC) enhances the capacities and features of mobile devices via offloading computation-intensive tasks over wireless networks to the edge servers. One challenge faced by the deployment of MEC in cellular networks is to support user mobility, so that the offloaded tasks can be seamlessly migrated between base stations (BSs) without compromising the resource-utilization efficiency and link reliability. In this paper, we tackle the challenge by optimizing the policy for migration/handover between BSs by jointly managing computation-and-radio resources. The policy design is formulated as a multi-objective optimization problem that maximizes the sum offloading rate, quantifying MEC throughput, and minimizes the migration cost, where the issues of virtualization, I/O interference between virtual machines (VMs), and wireless multi-access are taken into account. To solve the complex combinatorial problem, we develop an efficient relaxation-and-rounding based approach, including an optimal iterative algorithm for solving the integer-relaxed problem and a novel integer-recovery design that exploits the derived problem properties. The simulation results show the close-to-optimal performance of the proposed migration policies under various settings, validating their efficiency in computation-and-radio resource management for joint service migration and BS handover in multi-cell MEC networks. |
Persistent Identifier | http://hdl.handle.net/10722/295806 |
ISSN | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liang, Z | - |
dc.contributor.author | Liu, Y | - |
dc.contributor.author | Lok, TM | - |
dc.contributor.author | Huang, K | - |
dc.date.accessioned | 2021-02-08T08:14:17Z | - |
dc.date.available | 2021-02-08T08:14:17Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Proceedings of GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Virtual Conference, Taipei, Taiwan, 7-11 December 2020, p. 1-6 | - |
dc.identifier.issn | 2334-0983 | - |
dc.identifier.uri | http://hdl.handle.net/10722/295806 | - |
dc.description.abstract | Mobile-edge computing (MEC) enhances the capacities and features of mobile devices via offloading computation-intensive tasks over wireless networks to the edge servers. One challenge faced by the deployment of MEC in cellular networks is to support user mobility, so that the offloaded tasks can be seamlessly migrated between base stations (BSs) without compromising the resource-utilization efficiency and link reliability. In this paper, we tackle the challenge by optimizing the policy for migration/handover between BSs by jointly managing computation-and-radio resources. The policy design is formulated as a multi-objective optimization problem that maximizes the sum offloading rate, quantifying MEC throughput, and minimizes the migration cost, where the issues of virtualization, I/O interference between virtual machines (VMs), and wireless multi-access are taken into account. To solve the complex combinatorial problem, we develop an efficient relaxation-and-rounding based approach, including an optimal iterative algorithm for solving the integer-relaxed problem and a novel integer-recovery design that exploits the derived problem properties. The simulation results show the close-to-optimal performance of the proposed migration policies under various settings, validating their efficiency in computation-and-radio resource management for joint service migration and BS handover in multi-cell MEC networks. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308 | - |
dc.relation.ispartof | IEEE Global Communications Conference (GLOBECOM) | - |
dc.rights | IEEE Global Communications Conference (GLOBECOM). Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Wireless networks | - |
dc.subject | Interference | - |
dc.subject | Virtual machining | - |
dc.subject | Task analysis | - |
dc.subject | Virtualization | - |
dc.title | Service Migration for Multi-Cell Mobile Edge Computing | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Huang, K: huangkb@eee.hku.hk | - |
dc.identifier.authority | Huang, K=rp01875 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/GLOBECOM42002.2020.9348247 | - |
dc.identifier.scopus | eid_2-s2.0-85101212177 | - |
dc.identifier.hkuros | 321260 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 6 | - |
dc.identifier.isi | WOS:000668970505074 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 2334-0983 | - |