survey

A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms

Authors:

Xavier Masip-Bruin,

Eva Marín-TorderaAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 52, Issue 5

Article No.: 90, Pages 1 - 33

https://doi.org/10.1145/3326540

Published: 13 September 2019 Publication History

Abstract

With the advent of fog and edge computing paradigms, computation capabilities have been moved toward the edge of the network to support the requirements of highly demanding services. To ensure that the quality of such services is still met in the event of users’ mobility, migrating services across different computing nodes becomes essential. Several studies have emerged recently to address service migration in different edge-centric research areas, including fog computing, multi-access edge computing (MEC), cloudlets, and vehicular clouds. Since existing surveys in this area focus on either VM migration in general or migration in a single research field (e.g., MEC), the objective of this survey is to bring together studies from different, yet related, edge-centric research fields while capturing the different facets they addressed. More specifically, we examine the diversity characterizing the landscape of migration scenarios at the edge, present an objective-driven taxonomy of the literature, and highlight contributions that rather focused on architectural design and implementation. Finally, we identify a list of gaps and research opportunities based on the observation of the current state of the literature. One such opportunity lies in joining efforts from both networking and computing research communities to facilitate future research in this area.

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A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 52, Issue 5

September 2020

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3362097

Editor:
Sartaj Sahni
Department of Computer and Information Science and Engineering

Issue’s Table of Contents

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2019

Accepted: 01 April 2019

Revised: 01 April 2019

Received: 01 December 2018

Published in CSUR Volume 52, Issue 5

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H2020 EU mF2C Project
Spanish Ministry of Economy and Competitiveness and the European Regional Development

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Alwakeel AAlnaim A(2024)Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard FrameworkSensors10.3390/s2413430824:13(4308)Online publication date: 2-Jul-2024
https://doi.org/10.3390/s24134308
Fan QChen LYou CChen YYin H(2024)Dependency-Aware Service Migration for Backhaul-Free Vehicular Edge Computing NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.331052073:1(1337-1352)Online publication date: Jan-2024
https://doi.org/10.1109/TVT.2023.3310520
Li YWang SLi YZhou AXu MMa XLiu Y(2024)Seamless Cross-Edge Service Migration for Real-Time Rendering ApplicationsIEEE Transactions on Mobile Computing10.1109/TMC.2023.333177323:6(7084-7098)Online publication date: Jun-2024
https://doi.org/10.1109/TMC.2023.3331773
Wang WZhou XQiu THe XGe S(2024)Location-Privacy-Aware Service Migration Against Inference Attacks in Multiuser MEC SystemsIEEE Internet of Things Journal10.1109/JIOT.2023.329014511:1(1413-1426)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JIOT.2023.3290145
Zakarya MKhan AQazani MAli HAl-Bahri MKhan AAli AKhan R(2024)Sustainable computing across datacenters: A review of enabling models and techniquesComputer Science Review10.1016/j.cosrev.2024.10062052(100620)Online publication date: May-2024
https://doi.org/10.1016/j.cosrev.2024.100620
Chen JLiao LLai YSong LYang F(2024)A Multi-Agent Service Migration Algorithm for Mobile Edge Computing with Diversified ServicesWeb and Big Data10.1007/978-981-97-7241-4_22(343-358)Online publication date: 31-Aug-2024
https://dl.acm.org/doi/10.1007/978-981-97-7241-4_22
Pozveh AMazinani SFaraji Shoyari M(2024)Interoperability and Portability in Big Data Analysis Based Cloud-Fog-Edge-Dew ComputingResource Management in Distributed Systems10.1007/978-981-97-2644-8_11(209-245)Online publication date: 31-May-2024
https://doi.org/10.1007/978-981-97-2644-8_11
He TBuyya R(2023)A Taxonomy of Live Migration Management in Cloud ComputingACM Computing Surveys10.1145/361535356:3(1-33)Online publication date: 5-Oct-2023
https://dl.acm.org/doi/10.1145/3615353
Wang XLi JNing ZSong QGuo LGuo SObaidat M(2023)Wireless Powered Mobile Edge Computing Networks: A SurveyACM Computing Surveys10.1145/357999255:13s(1-37)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3579992
Rubin FSouza PFerreto THong JLanperne MPark JCerny TShahriar H(2023)Reducing Power Consumption during Server Maintenance on Edge Computing InfrastructuresProceedings of the 38th ACM/SIGAPP Symposium on Applied Computing10.1145/3555776.3577739(691-698)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3555776.3577739
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