Mobile Edge Services for Quality of Service Control and Access to Terminal Status

Pencheva, Evelina; Atanasov, Ivaylo

doi:10.2478/cait-2018-0034

Abstract

An important ingredient of fifth generation (5G) networks will be Multi-access Edge Computing (MEC). MEC brings the computational intelligence of the cloud within the Radio Access Network (RAN). The virtualized functionality is accessible through Application Programming Interfaces (APIs). In this paper, we study capabilities of reuse existing time-tested Web Services to provide mobile edge middleware services. The focus is on mobile edge services that can be used by applications for bandwidth management and access to user contextual information. An extension of Web Service functionality is proposed. Implementation issues of Web Services in RAN are considered.

References

1. Taleb, T., K. Samdanis, B. Mada, H. Flinck, S. Dutta, D. Sabella. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Architecture & Orchestration. – IEEE Communications Surveys & Tutorials, Vol. PP, 2017, No 99.10.1109/COMST.2017.2705720
Search in Google Scholar Back to article
2. Pham, N. M. N., V. S. Le, H. H. C. Nguyen. Energy Efficient Resource Allocation for Virtual Services Based on Heterogeneous Shared Hosting Platforms in Cloud Computing. – Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 47-57.10.1515/cait-2017-0029
Search in Google Scholar Back to article
3. Ahmed, A., E. Ahmed. A Survey on Mobile Edge Computing. – In: 10th International Conference on Intelligent Systems and Control (ISCO’16), Coimbatore, 2016, pp. 1-8.10.1109/ISCO.2016.7727082
Search in Google Scholar Back to article
4. Jararweh, Y., M. Alsmirat, M. Al-Ayyoub, E. Benkhelifa, A. Darabseh, B. Gupta, A. Doulat. Software-Defined System Support for Enabling Ubiquitous Mobile Edge Computing. – The Computer Journal, February 2017, pp. 1-15.10.1093/comjnl/bxx019
Search in Google Scholar Back to article
5. Li, H., G. Shou, Y. Hu, Z. Guo. Mobile Edge Computing: Progress and Challenges. – In: Proc. of 4th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud’16), Oxford, 2016, pp. 83-84.10.1109/MobileCloud.2016.16
Search in Google Scholar Back to article
6. Satyanarayanan, M. The Energence of Edge Computing. – Computer, January 2017, pp. 30-39.10.1109/MC.2017.9
Search in Google Scholar Back to article
7. Lian, B. Mobile Edge Computing. Book Chapter. – In: Key Technologies for 5G Wireless Systems. V. W. S. Wong, R. Schober, D. W. K. Ng, L.-C. Wang, Eds. Cambridge University Press, 2017.
Search in Google Scholar Back to article
8. Mach, P., Z. Becvar. Mobile Edge Computing: A Survey on Architecture and Computation Offloading. Cornell University Library, arXiv:1702.05309v2 [cs.IT]
Search in Google Scholar Back to article
9. Kumar, G. K., M. Gobi. Survey on Mobile Cloud Computing [MCC], its Security & Future Research Challenges. – International Research Journal of Engineering and Technology (IRJET), Vol. 4, June 2017, Issue 6, pp. 2987-2995.
Search in Google Scholar Back to article
10. Wang, S., X. Zhang, Y. Zhang, L. Wang, J. Yang, W. Wang. A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications. – IEEE Access, Vol. 5, 2017, pp. 6757-6779.10.1109/ACCESS.2017.2685434
Search in Google Scholar Back to article
11. Zhang, K., Y. Mao, Q. Zhao, L. Li, X. Peng, L. Pan, S. Maharjan, Y. Zhang. Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous Networks. – In: IEEE Access, January 2016, pp. 1-10.10.1109/ACCESS.2016.2597169
Search in Google Scholar Back to article
12. Chen, X., L. Jiao, W. Li, X. Fu. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing. – IEEE/ACM Transactions on Networking, Vol. 24, October 2016, No 5, pp. 2795-2808.10.1109/TNET.2015.2487344
Search in Google Scholar Back to article
13. Wang, C., C. Liang, F. R. Yu, Q. Chen, L. Tang. Computation Offloading and Resource Allocation in Wireless Cellular Networks with Mobile Edge Computing. – IEEE Transactions on Wireless Communications, Vol. PP, 2017, No 99.10.1109/ICC.2017.7996857
Search in Google Scholar Back to article
14. Labidi, W., M. Sarkiss, M. Kamoun. Joint Multi-User Resource Scheduling and Computation Offloading in Small Cell Networks. – In: IEEE International Conference on Wireless and Mobile Computing, Networkingand Communications (WiMob’15), 2015, pp. 794-801.10.1109/WiMOB.2015.7348043
Search in Google Scholar Back to article
15. Rimal, B. P., D. P. Van, M. Maier. Mobile-Edge Computing vs. Centralized Cloud Computing over a Converged FiWi Access Network. – iIEEE Transactions on Network and Service Management, Vol. PP, 2017, No 99.10.1109/TNSM.2017.2706085
Search in Google Scholar Back to article
16. Machen, A., S. Wang, K. K. Leung, B. J. Ko, T. Salonidis. Live Service Migration in Mobile Edge Clouds. Cornell University Library, arXiv:1706.04118 [cs.DC], 2017.10.1109/MWC.2017.1700011
Search in Google Scholar Back to article
17. Bao, W., B. Liang. Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks. – IEEE Journal on Selected Areas in Communications, Vol. 33, 2015, No 10, pp. 2212-2225.10.1109/JSAC.2015.2435451
Search in Google Scholar Back to article
18. Orsini, G., D. Bade, W. Lamersdorf. CloudAware: A Context-Adaptive Middleware for Mobile Edge and Cloud Computing Applications. – In: IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W’16), Augsburg, 2016, pp. 216-221.10.1109/FAS-W.2016.54
Search in Google Scholar Back to article
19. Pencheva, E., I. Atanasov. An Approach to Design Radio Network Information Web Services for Mobile Edge Computing. – In: IEEE Global IoT Summit, Geneva, Switzerland, 2017, pp. 1-6.10.1109/GIOTS.2017.8016210
Search in Google Scholar Back to article
20. Atanasov, I., E. Pencheva. Web Services for Radio Resource Control. – In: 2nd EAI International Conference on Cloud, Networking for IoT Systems, Brindisi, Italy, 2017, pp. 1-6.
Search in Google Scholar Back to article
21. Jakobsson, S., C. Mulligan, M. Unmehopa. Research and Reality: The Evolution of Open Network API Standards. – In: IEEE International Conference on Communications (ICC’12), Ottawa, ON, 2012, pp. 6901-6905.10.1109/ICC.2012.6364773
Search in Google Scholar Back to article
22. ETSI GS MEC 003. Mobile Edge Computing (MEC). Framework and Reference Architecture. V1.1.1. 2016.
Search in Google Scholar Back to article
23. ETSI GS MEC 002. Mobile Edge Computing (MEC). Technical Requirements. V1.1.1. 2016.
Search in Google Scholar Back to article
24. 3GPP TS 29.199-17. Technical Specification Group Core Network and Terminals. Open Service Access (OSA). Parlay X Web Services. Part 17: Application-Driven Quality of Service. Release 9. V9.0.0. 2009.
Search in Google Scholar Back to article
25. 3GPP TS 29.199-8. Technical Specification Group Core Network and Terminals. Open Service Access (OSA). Parlay X Web Services. Part 8: Terminal Status. Release 9. V9.0.0. 2009.
Search in Google Scholar Back to article
26. 3GPP TS 36.331. Evolved Universal Terrestrial Radio Access (EUTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN). Radio Resource Control (RRC). Protocol Specification. Release 14. V14.1.0. 2016.
Search in Google Scholar Back to article
27. 3GPP TS 36.413. Evolved Universal Terrestrial Radio Access (EUTRA) and Evolved Universal Terrestrial Radio Access Network (E-UTRAN). S1 Application Protocol (S1AP). Release 14. V14.1.0. 2017.
Search in Google Scholar Back to article

Mobile Edge Services for Quality of Service Control and Access to Terminal Status

Abstract

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