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.

Active Publication Date: 2019-06-28
CERTUS NETWORK TECHNANJING
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Problems solved by technology

If a MEC randomly accessed by a mobile device is serving other devices or its computing power is insufficient, the resource allocation of the MEC will be unreasonable and eventually lead to a decline in user experience
[0008] (2) Actual mobility of users: Although the current research mainly focuses on predicting the user's m

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

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[0055] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention. Not all examples.

[0056] The following describes the embodiments of the present invention in detail with reference to specific examples and drawings.

[0057] Such as figure 1 As shown, the present invention uses a network including one mobile user at any time and multiple MECs. Before the mobile user moves, the mobile user’s device has computationally intensive tasks W to be processed at this time. Due to its limited computing power, the tasks W to be processed can be partially split and processed on the local device and offloaded to the MEC. deal with. In addition, at this time, there are i non-interfering and mut...

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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.

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 ...

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Application Information

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IPC IPC(8): G06F9/48G06F9/50H04L12/24H04W4/50H04W72/04
Inventor 张鹤曹傧刘期烈
Owner CERTUS NETWORK TECHNANJING
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