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Optimal Resource Allocation and Task Segmentation in IoT Enabled Mobile Edge Cloud
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  • Asad Mahmood ,
  • Yue Hong ,
  • Muhammad Khurram Ehsan ,
  • Shahid Mumtaz
Asad Mahmood
College of Mechatronics and Control Engineering

Corresponding Author:[email protected]

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Muhammad Khurram Ehsan
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Shahid Mumtaz
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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.
Dec 2021Published in IEEE Transactions on Vehicular Technology volume 70 issue 12 on pages 13294-13303. 10.1109/TVT.2021.3121146