Wireless Communications and Mobile Computing

Service Migration in Mobile Edge Computing


Publishing date
01 Sep 2018
Status
Published
Submission deadline
20 Apr 2018

Lead Editor

1Beijing University of Posts and Telecommunications, Beijing, China

2Huawei Shannon IT Lab, Bridgewater, USA

3Soongsil University, Seoul, Republic of Korea

4The University of British Columbia, BC, Canada


Service Migration in Mobile Edge Computing

Description

With the rapid proliferation of intelligent mobile devices, mobile edge computing (MEC) is proposed to relieve the bottleneck of mobile devices’ limited capacity and low latency for services from the core network. Service migration is a significant issue in MEC. The contradiction between the limited covering area of a single edge server and the mobility of users (e.g., intelligent vehicles and smart devices) will result in significant network degradation if the distance between the user and his serving edge server is beyond a threshold, which can further lead to dramatic drop of QoS/QoE and even interruption of ongoing services. At this moment, service migration bears the responsibility to migrate the user's ongoing service from the source (current) edge server to the destination edge server near the mobile user.

Although there have been some research efforts relevant to service migration in MEC, many challenges should be addressed. On one hand, the characteristics of service migration for MEC are quite different from the traditional handover process in cellular network and live migration in data center of cloud computing diagram for emphasis on data transferring, different evaluation metrics, more complex network conditions, and so forth. On the other hand, the service migration for MEC should deal with the nontrivial problems in MEC, such as mobility management, cache-enabled, deployment of MEC systems, and resource management. Moreover, energy-saving service migration in real time, architecture design of MEC systems, and the privacy and security mechanisms for service migration are also considered.

This special issue aims to become a valuable information source for state-of-the-art research and development in service migration for MEC and wireless mobile network. It also aims to serve as an outlet for facilitating computational intelligent among service computing researchers, practitioners, and professionals from across academics, government, and industry. Finally, it aims to foster the dissemination of high quality research in new ideas, methods, theories, techniques, and applications of evaluation and management for improving mobile services. Original research articles are solicited in all aspects, including theoretical studies, practical applications, and experimental prototypes.

Potential topics include but are not limited to the following:

  • QoS-aware edge server selection algorithm in MEC systems
  • Selection algorithm of migration path with both of latency and cost in MEC
  • Mobility management for service migration in MEC
  • Virtual resource allocation strategy on edge servers
  • API standardization and development tools for service migration process in MEC
  • Performance evaluation for service migration
  • Architecture design of MEC systems for efficient service migration
  • Data compression algorithm and transferring optimization in service migration
  • Dynamic projection mapping for AR/VR service in MEC
  • Network control protocols and algorithms for service migration in MEC
  • Security and privacy issues for service migration in MEC

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 3823721
  • - Editorial

Service Migration in Mobile Edge Computing

Shangguang Wang | Wu Chou | ... | Victor C. Leung
  • Special Issue
  • - Volume 2018
  • - Article ID 5485461
  • - Research Article

A Simulation-Based Approach of QoS-Aware Service Selection in Mobile Edge Computing

Jiwei Huang | Yihan Lan | Minfeng Xu
  • Special Issue
  • - Volume 2018
  • - Article ID 7619102
  • - Research Article

BTP: A Bedtime Predicting Algorithm via Smartphone Screen Status

Kun Niu | Shubo Zhang | ... | Chao Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 8267838
  • - Review Article

A Survey on Mobile Edge Computing: Focusing on Service Adoption and Provision

Kai Peng | Victor C. M. Leung | ... | Qingjia Huang
  • Special Issue
  • - Volume 2018
  • - Article ID 4801465
  • - Research Article

An Efficient Forwarding Capability Evaluation Method for Opportunistic Offloading in Mobile Edge Computing

Qian Wang | Zhipeng Gao | ... | Xuesong Qiu
  • Special Issue
  • - Volume 2018
  • - Article ID 1324897
  • - Research Article

Dynamic Service Request Scheduling for Mobile Edge Computing Systems

Ying Chen | Yongchao Zhang | Xin Chen
  • Special Issue
  • - Volume 2018
  • - Article ID 5380481
  • - Research Article

A Security Situation Prediction Algorithm Based on HMM in Mobile Network

Wei Liang | Jing Long | ... | Kuan-Ching Li
  • Special Issue
  • - Volume 2018
  • - Article ID 8056195
  • - Research Article

CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC

Hongchen Wu | Huaxiang Zhang | ... | Xinjun Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 3610482
  • - Research Article

A Novel Real-Time Image Restoration Algorithm in Edge Computing

Xingmin Ma | Shenggang Xu | ... | Fuhong Lin
  • Special Issue
  • - Volume 2018
  • - Article ID 9354273
  • - Research Article

DS-Harmonizer: A Harmonization Service on Spatiotemporal Data Stream in Edge Computing Environment

Weilong Ding | Zhuofeng Zhao
Wireless Communications and Mobile Computing
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Acceptance rate33%
Submission to final decision81 days
Acceptance to publication37 days
CiteScore2.900
Impact Factor1.819
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