Browse by author
Lookup NU author(s): Dr Zhenyu Wen,
Dr Graham Morgan,
Professor Raj Ranjan
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 1986-2012 IEEE.An increasing number of cloud providers now offer mobile edge computing (MEC) services for their customers to support task offloading. This is undertaken to reduce latency associated with forwarding data from IoT devices owned by customers to cloud platforms. However, two challenges remain in existing MEC scenarios: (i) the coverage of MEC services is limited; (ii) there is limited ability to develop an audit trail about which MEC service providers have processed a user's data. A new architecture for automatically offloading user tasks in MEC scenarios is proposed that addresses the two challenges above. The architecture makes use of drones to dynamically cache data generated from IoT devices and forward this data to MEC servers that participate in a private blockchain network. Our simulated experiments demonstrate the flexibility of the task offloading process through the proposed architecture, which can provide greater visibility of MEC service providers involved in processing users' data.
Author(s): Luo S, Li H, Wen Z, Qian B, Morgan G, Longo A, Rana O, Ranjan R
Publication type: Article
Publication status: Published
Journal: IEEE Network
Online publication date: 16/01/2021
Acceptance date: 02/04/2016
ISSN (print): 0890-8044
ISSN (electronic): 1558-156X
Publisher: Institute of Electrical and Electronics Engineers Inc.
Altmetrics provided by Altmetric