Multi-Objective Resource Optimization for Hierarchical Mobile Edge Computing

Umair Yaqub, Sameh Sorour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


Mobile edge computing (MEC) enables the computation of complex tasks efficiently on end-devices. It has been shown that MEC can potentially reduce the delay and offer energy-efficient operation. So far, the research has been focused on or limited to multi-server optimization for partial offloading or competing to offload to the best server among different sets of mobile device. In this paper, we propose a hierarchical structure where user devices that have available resources can act as servers without the need to offload to the cloud. Results show that this model improves the system utility. Furthermore, there is a trade-off between the number of users in the network and the number of peers willing to accept tasks. As the number of users increase, the utility of the hierarchical system keeps increasing whereas the simple MEC system utility saturates.
Original languageEnglish (US)
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
ISBN (Print)9781538647271
StatePublished - 2018
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-27
Acknowledged KAUST grant number(s): OSR-2016-KKI-2899
Acknowledgements: The authors would like to acknowledge the support of this work by both KAUST's Office of Sponsored Research under Award No. OSR-2016-KKI-2899, and KFUPM's Deanship of Scientific Research through projects EE002355 and KAUST-002.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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