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Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system

A technology for computing tasks and energy consumption, applied in transmission systems, energy reduction, advanced technologies, etc., can solve the problems of not considering signaling overhead, not considering the energy consumption of mobile terminals, not considering task offloading and execution delay, etc.

Inactive Publication Date: 2018-02-09
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This algorithm mobile terminal needs the feedback from the MEC server for writing decision, but this algorithm does not consider the signaling overhead generated
The low-complexity Lyapunov optimization-based dynamic computation offloading (LODCO) algorithm uses dynamic voltage scaling (DVS) and energy harvesting techniques (EHT) to optimize Latency consumption, however this algorithm does not take into account the energy consumption of the mobile terminal
The energy-efficient computing offloading mechanism (EECO) classifies mobile terminals to obtain a task offloading solution that optimizes energy consumption. However, this mechanism does not take into account task offloading and execution delays.

Method used

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  • Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system
  • Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system
  • Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system

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Embodiment Construction

[0061] The algorithm of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0062] The method flow chart described in the present invention is as figure 1 shown, including the following steps:

[0063] Step 1. Establish a single cell model with multiple users, a macro base station with MEC server deployed, and a small base station without MEC server deployed.

[0064] Establish the MEC system under the 5G heterogeneous network, which consists of multiple users, a macro base station with MEC server deployed, and a small base station without MEC server deployed. Each user has a computing-intensive or latency-sensitive computing task. Each computational task can be written as

[0065]

[0066] In the formula, T i Indicates the computing tasks owned by mobile terminal user i; I i Indicates that the task T i The data size (measured by bits); c i Indicates the completion of this computing task T i the numb...

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Abstract

The invention discloses a delay and energy consumption-based efficient offloading method for a computing task of a mobile edge computing system. The method comprises the steps of building a macro basestation with multiple users and one deployment mobile edge computing (MEC) server and a single-cell cell model of a small base station without an MEC server; then building a mathematical model basedon a wireless communication theory; and finally, designing a delay and energy consumption-based efficient offloading solution for a computing task of the MEC system through a parallel greedy algorithm, and analyzing and providing the performance of the solution. Compared with existing efficient energy consumption offloading solution, the method well weights the delay sensitive demand and energy consumption demand of a terminal user, and lowers delay and total energy consumption of the system.

Description

technical field [0001] The invention belongs to the related fields of mobile communication and mobile edge computing research, and relates to an efficient offloading method for computing tasks of a mobile edge computing system that jointly considers delay and energy consumption, and reduces the delay and energy consumption of the mobile edge computing system. Background technique [0002] In recent years, mobile smart terminals have been widely popularized, and emerging mobile applications such as interactive gaming (IG), virtual reality (virtual reality, VR), augmented reality (augmented reality, AR), etc. are also increasingly popular. However, these mobile applications The program has the characteristics of low latency requirements and high energy consumption, which conflicts with the limited computing power and limited battery capacity and life of the mobile terminal. In this regard, the concept of mobile cloud computing (MCC) for mobile terminals is proposed to solve th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04W4/00
CPCH04L67/10H04L67/61Y02D30/70
Inventor 孙艳华郝哲张延华司鹏搏杨睿哲吴文君孙恩昌王朱伟
Owner BEIJING UNIV OF TECH
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