Scholarly record
ENHANCED MOBILE EDGE BANDWIDTH MANAGEMENT SERVICE
Abstract
Multi-access Edge Computing (MEC) is a cloud technology that converges telecommunication and computing capabilities in radio access network. The research and standardization activities for enabling advanced mobile edge services are ongoing with diverse challenges yet to be met. A key area is the development of Application Programming Interfaces (API) that enable application to acquire mobile edge resources and simply and efficiently to manage them. Bandwidth Management Service (BWMS) is a mobile edge service that enables all registered applications to statically and/or dynamically register for specific bandwidth allocation per session/application, and to get information about the configured bandwidth allocation. The paper proposes an extension of BWMS that enables authorized applications to supervise establishment, modification and release of radio access bearers and thus to manage dynamically the available bandwidth under current radio conditions. The proposed extended functionality is illustrated by information flows, data models and actual API definition. As a proof of the concept, resource state models are provides, formally described and verified.
Publication Impact Profile
Publication details
References13
Satyanarayanan M., The Emergence of Edge Computing., IEEE Computer, January, 2017, pp.30-39.
Liu J., Mao Y., Zhang J., Letaief K. B., Delay-optimal computation task scheduling for mobile-edge computing systems, IEEE International Symposium on Information Theory (ISIT), Barcelona, 2016, pp. 1451-1455.
Rimal B. P., Van D. P., Maier M., Mobile-Edge Computing vs. Centralized Cloud Computing over a Converged FiWi Access Network, IEEE Transactions on Network and Service Management, Sept. 2017, vol. 14, no. 3, pp. 498-513.
Tran T., Hajisami A., Pandey P., Pompili D., Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges, Cornell University Library, 2017, arXiv:1612.03184v2 [cs.NI].
Chen X., Jiao L., Li W., Fu X., Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing, IEEE/ACM Transactions on Networking, October 2016, vol. 24, no. 5, pp.2795-2808.
Dinh T. Q., Tang J. Q., La D. T., Quek Q. S., Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling, IEEE Transactions on Communications, 2017, vol. 65, no. 8, pp. 3571-3584.
Sato K., Fujii T., Radio Environment Aware Computation Offloading with Multiple Mobile Edge Computing Servers, 2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), San Francisco, CA, 2017, pp. 1-5.
Bao W., Liang B., Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks, IEEE Journal on Selected Areas in Communications, vol. 33, no. 10, 2015, pp. 2212-2225.
Liu J., Wan J., Jia D., Zeng B., Li D., Hsu C.-H., Chen H., High-efficiency Urban-traffic Management in Context-aware Computing and 5G Communication, IEEE Communications Magazine, January 2017, vol. 55, no. 1, pp. 34-40.
Alizadeh M., Abolfazli S., Zamani M., Baharun S., Sakurai K., Authentication in mobile cloud computing: A survey, Journal of Network and Computer Applications, vol. 61, pp. 59-80, Feb. 2016.
Atanasov I., Pencheva E., Dimova R., Toward open service access to policy and charging control in evolved packet system, Telecommunications Systems, Springer, 2015, vol. 59, no. 3, pp. 365-380.
Atanasov I., Pencheva E., Web Services for Radio Resource Control, In: Longo A. et al. (eds) Cloud Infrastructures, Services, and IoT Systems for Smart Cities, IISSC 2017, CN4IoT 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 189. Springer, Cham, pp 188-198.
Pola G., Manes C., Schaft A., Di Benedetto M. D., Bisimulation Equivalence of Discrete-Time Stochastic Linear Control Systems, IEEE Transactions on Automatic Control, vol. PP, no. 99, pp. 1-1, DOI: 10.1109/TAC.2017.2760515
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


