A4 Article in conference proceedings
Dynamic Resource Allocation and Computation Offloading for Edge Computing System (2020)
Chang, Z., Liu, L., Guo, X., Chen, T., & Ristaniemi, T. (2020). Dynamic Resource Allocation and Computation Offloading for Edge Computing System. In I. Maglogiannis, L. Iliadis, & E. Pimenidis (Eds.), AIAI 2020 : IFIP International Conference on Artificial Intelligence Applications and Innovations : WG 12.5 International Workshops (pp. 61-73). Springer. IFIP Advances in Information and Communication Technology, 585. https://doi.org/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: https://doi.org/10.1007/978-3-030-49190-1_6
Publication open access: Not open
Publication channel open access:
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
JUFO rating: 1