A Novel Two-Layered Reinforcement Learning for Task Offloading with Tradeoff between Physical Machine Utilization Rate and Delay

A Novel Two-Layered Reinforcement Learning for Task Offloading with Tradeoff between Physical Machine Utilization Rate and Delay

Mobile devices could augment their ability via cloud resources in mobile cloud computing environments. This paper developed a novel two-layered reinforcement learning (TLRL) algorithm to consider task offloading for resource-constrained mobile devices. As opposed to existing literature, the utilizat...

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Bibliographic Details
Main Authors: Li Quan, Zhiliang Wang, Fuji Ren
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Future Internet
Subjects:
mobile device
task offloading
tradeoff
mobile cloud computing
two layered reinforcement learning
Online Access:http://www.mdpi.com/1999-5903/10/7/60

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http://www.mdpi.com/1999-5903/10/7/60

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