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Reliability-enhanced mobile edge computing task unloading method

An edge computing and reliability technology, applied in computing, program control design, program loading/starting, etc., can solve the problems of maximizing reliability and minimizing bandwidth consumption of IoT applications at the same time

Active Publication Date: 2020-12-25
ANYANG NORMAL UNIV
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  • Claims
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Problems solved by technology

[0005] Aiming at the contradiction between the reliability level and the bandwidth consumption in the existing multi-objective optimization method of the Internet of Things application, the technical problem of maximizing the reliability and minimizing the bandwidth consumption of the Internet of Things application cannot be satisfied at the same time, the present invention proposes a Reliability-enhanced mobile edge computing task offloading method, by sorting IoT applications in ascending order of deadlines, analyzing their directed acyclic graphs, and effectively generating collaborative task offloading solutions on edge clouds, meets the requirements of IoT applications. Requirements for maximum reliability and minimum bandwidth consumption

Method used

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Embodiment Construction

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0053] like figure 1 As shown, the embodiment of the present invention provides a mobile edge computing task offloading method with enhanced reliability, and the specific steps are as follows:

[0054] Step 1: Build a mobile edge computing system model based on the edge cloud, and connect IoT devices to the mobile edge computing system model to generate IoT applications. The IoT applications include multiple collaborative tasks; figure 2 As shown, the mobile...

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Abstract

The invention provides a reliability-enhanced mobile edge computing task unloading method. The method comprises the following steps of firstly, constructing a mobile edge computing system model, and accessing Internet of Things equipment into the mobile edge computing system model to generate an Internet of Things application; secondly, constructing directed acyclic graphs of the Internet of Things application according to a plurality of cooperation tasks of the Internet of Things application; constructing a bandwidth consumption model and a reliability model; matching the plurality of cooperation tasks of the Internet of Things application with edge cloud by using a reliability-enhanced task unloading method; and finally, calculating a reliability level, bandwidth consumption and total completion time of the Internet of Things application by utilizing the bandwidth consumption model and the reliability model. According to the invention, the bandwidth consumption model and the reliability model based on a Poisson process are established, an approximately optimal method with low time complexity is provided, the cooperation task unloading scheme on the edge cloud can be effectively generated, and effectiveness of the method is proved through simulation experiments.

Description

technical field [0001] The present invention relates to the field of software engineering and the field of wireless communication technology, in particular to a mobile edge computing task offloading method with enhanced reliability. Background technique [0002] With the rapid development of software and hardware technology, the number of IoT devices such as wearable devices, Raspberry Pi, and smartphones has increased dramatically, and they are ubiquitous in the modern digital society. It is predicted that by 2022, there will be approximately 29 billion IoT devices connected to the Internet. Subsequently, these IoT devices generate a large number of latency-sensitive IoT applications that have stringent latency requirements (e.g., real-time responses on a timescale of 10ms or even 1ms) and require extensive processing and bandwidth resources. However, due to the limited resources of these IoT devices such as processing power, bandwidth, and storage space, some complex IoT ...

Claims

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Application Information

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IPC IPC(8): G06F9/445G06F9/455G06F9/50H04L29/08
CPCG06F9/44594G06F9/45558G06F9/5072H04L67/12G06F2009/45595Y02D10/00
Inventor 刘家磊蔡丽莎王怀辰宋军朋宋旭董晨沛
Owner ANYANG NORMAL UNIV
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