Service Migration in Mobile Edge Computing
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