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Optimal Resource Allocation and Task Segmentation in IoT Enabled Mobile Edge Cloud

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posted on 07.10.2021, 16:08 authored by Asad MahmoodAsad Mahmood, Yue Hong, Muhammad Khurram Ehsan, Shahid Mumtaz
This work examines the convex optimization problem. The objective is to minimize the task duration by optimal allocation of the resources like local and edge computational capabilities, transmission power, and optimal task segmentation. For optimal allocation of resources, an algorithm name Estimation of Optimal Resource Allocator (EORA) is designed to optimize the function by keeping track of statistics of each candidate of the population.

Funding

Natural Science Foundation of SZU (grant no. 2110271)

History

Email Address of Submitting Author

asad10125@hotmail.com

Submitting Author's Institution

College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China

Submitting Author's Country

China

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in IEEE Transactions on Vehicular Technology

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