Document Type
Preprint
Publication Date
8-1-2020
Journal / Book Title
Proceedings International Conference on Computer Communications and Networks ICCCN
Abstract
In this preliminary study, we consider the server allocation problem for edge computing system deployment. Our goal is to minimize the average turnaround time of application requests/tasks, generated by all mobile devices/users in a geographical region. We consider two approaches for edge cloud deployment: the flat deployment, where all edge clouds co-locate with the base stations, and the hierarchical deployment, where edge clouds can also co-locate with other system components besides the base stations. In the flat deployment, we demonstrate that the allocation of edge cloud servers should be balanced across all the base stations, if the application request arrival rates at the base stations are equal to each other. We also show that the hierarchical deployment approach has great potentials in minimizing the system's average turnaround time. We conduct various simulation studies using the CloudSim Plus platform to verify our theoretical results. The collective findings trough theoretical analysis and simulation results will provide useful guidance in practical edge computing system deployment.
DOI
10.1109/ICCCN49398.2020.9209754
Montclair State University Digital Commons Citation
Li, Dawei; Asikaburu, Chigozie; Dong, Boxiang; Zhou, Huan; and Azizi, Sadoon, "Towards Optimal System Deployment for Edge Computing: A Preliminary Study" (2020). Department of Computer Science Faculty Scholarship and Creative Works. 779.
https://digitalcommons.montclair.edu/compusci-facpubs/779
Published Citation
Li, D., Asikaburu, C., Dong, B., Zhou, H., & Azizi, S. (2020, August). Towards optimal system deployment for edge computing: a preliminary study. In 2020 29th international conference on computer communications and networks (ICCCN) (pp. 1-6). IEEE.