A4 Article in conference proceedings
Dynamic Resource Allocation and Computation Offloading for Edge Computing System (2020)


Chang, Zheng; Liu, Liqing; Guo, Xijuan; Chen, Tao; Ristaniemi, Tapani (2020). Dynamic Resource Allocation and Computation Offloading for Edge Computing System. In Maglogiannis, Ilias; Iliadis, Lazaros; Pimenidis, Elias (Eds.) AIAI 2020 : IFIP International Conference on Artificial Intelligence Applications and Innovations : WG 12.5 International Workshops, IFIP Advances in Information and Communication Technology, 585. Cham: Springer, 61-73. DOI: 10.1007/978-3-030-49190-1_6


JYU authors or editors


Publication details

All authors or editors: Chang, Zheng; Liu, Liqing; Guo, Xijuan; Chen, Tao; Ristaniemi, Tapani

Parent publication: AIAI 2020 : IFIP International Conference on Artificial Intelligence Applications and Innovations : WG 12.5 International Workshops

Parent publication editors: Maglogiannis, Ilias; Iliadis, Lazaros; Pimenidis, Elias

Place and date of conference: Neos Marmaras, Greece, 5.-7.6.2020

ISBN: 978-3-030-49189-5

eISBN: 978-3-030-49190-1

Journal or series: IFIP Advances in Information and Communication Technology

ISSN: 1868-4238

eISSN: 1868-422X

Publication year: 2020

Number in series: 585

Pages range: 61-73

Number of pages in the book: 246

Publisher: Springer

Place of Publication: Cham

Publication country: Switzerland

Publication language: English

DOI: http://doi.org/10.1007/978-3-030-49190-1_6

Open Access: Publication channel is not openly available


Abstract

In this work, we propose a dynamic optimization scheme for an edge computing system with multiple users, where the radio and computational resources, and offloading decisions, can be dynamically allocated with the variation of computation demands, radio channels and the computation resources. Specifically, with the objective to minimize the energy consumption of the considered system, we propose a joint computation offloading, radio and computational resource allocation algorithm based on Lyapunov optimization. Through minimizing the derived upper bound of the Lyapunov drift-plus-penalty function, the main problem is divided into several sub-problems at each time slot and are addressed separately. The simulation results demonstrate the effectiveness of the proposed scheme.


Keywords: wireless data transmission; cloud services; optimisation

Free keywords: edge computing; dynamic computation offloading; Lyapunov optimization; resource allocation


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2020


Last updated on 2020-09-07 at 23:09