A decision-making method for task unloading and migration based on user mobility

A decision-making method and a mobility technology, applied in the field of mobile communications, can solve the problems of not considering the random connection time of mobile users, insufficient computing power, unreasonable resource allocation, etc.
CN109947545AActive Publication Date: 2019-06-28CERTUS NETWORK TECHNANJING
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
CERTUS NETWORK TECHNANJING
Publication Date
2019-06-28

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Abstract

The invention belongs to the technical field of mobile communication, and particularly relates to a decision-making method for task unloading and migration based on user mobility. The method comprisesthe steps that enabling a mobile user to determine the cost and income of a mobile edge cloud system according to a random connection time and task processing time relation; establishing a revenue system model with the goal of maximizing the revenue of the mobile edge cloud system; adopting a multi-stage random planning method for the revenue model; obtaining the earnings of each mobile edge cloud computing MEC and the corresponding unloading task amount of the mobile edge cloud computing MEC; and adopting an upper confidence boundary algorithm to maximize the system average income within thelearning time T, so that the MEC with the maximum system income is obtained. According to the invention, the randomness problem of the connection time between the mobile user and the MEC and the problem of how to select the MEC specifically can be solved, so that the method can be widely applied to a mobile edge cloud system.
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Description

technical field

[0001] The invention belongs to the technical field of mobile communication, and relates to a decision-making method for task offloading and migration based on user mobility in Mobile Edge Computing (MEC). Background technique

[0002] MEC is one of the important technical means for future mobile communication systems to enhance service application capabilities. By deploying a service application platform with computing, storage, and communication capabilities at the edge nodes of the wireless access network, MEC can effectively handle the high-timeliness business needs of end users, greatly shorten the end-to-end delay, and solve the problem of the core network. A large amount of data traffic calculation and other related issues. Compared with Mobile Cloud Computing (MCC), MEC has the following advantages:

[0003] (1) Ultra-low latency. For example, in a dense cell network, the information propagation distance of MEC is usually tens of meters, generally ...

Claims

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