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Intelligent dynamic task computing unloading method based on edge computing system

An edge computing and computing offloading technology, applied in computing, program control design, program startup/switching, etc., can solve problems such as too many offloading tasks and insufficient MEC computing resources, and achieve the effect of minimizing system energy consumption

Active Publication Date: 2021-11-23
WUHAN UNIV OF TECH
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  • Application Information

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Problems solved by technology

[0008] In view of the above problems, the present invention proposes an intelligent overclocking MEC system model, which effectively solves the problem of insufficient MEC computing resources when there are too many offloading tasks and too large

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  • Intelligent dynamic task computing unloading method based on edge computing system
  • Intelligent dynamic task computing unloading method based on edge computing system
  • Intelligent dynamic task computing unloading method based on edge computing system

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specific Embodiment approach

[0101] Attached below Figure 1-14 Introduce the specific embodiment of the present invention, specifically as follows:

[0102] Step 1: Construct the loss model L(t) of the intelligent overclocking mobile edge computing server and the dynamic task queue set {I n}, where t represents the running time of the server, subscript n represents the nth user, N=50;

[0103] The intelligent overclocking mobile edge computing system scenario in step 1 is composed of a mobile edge computing server with intelligent overclocking function and user equipment, in particular, the offload system is in discrete time slots S=100, running in middle, the duration of each time slot s is T cyc (T cyc is a scalar, representing a fixed duration, T cyc = 2s). The loss function L(t) generated under the overclocking state is given by the following formula:

[0104]

[0105] Where α>0 is a fixed value, set α=0.3, which represents the growth rate of the loss function L(t) over time t, T cyc i...

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Abstract

The invention provides an intelligent dynamic task computing unloading method based on an edge computing system. Firstly, a novel mobile edge computing model with intelligent overclocking capability is provided, and then a user task model, a system unloading decision model, a system overclocking decision model, a task unloading income model, a local computing overhead model and an edge computing overhead model are constructed under an intelligent overclocking MEC system model; then the fact that the multi-time-slot dynamic task calculation unloading problem is only related to the current time slot is determined by utilizing the Lyapunov principle, and a mathematical problem for balancing the system effectiveness and the system stability is provided; and finally, aiming at the optimization problem, the invention provides the corresponding solution to obtain the calculation unloading scheme of the dynamic task unloading problem, and the effectiveness and superiority of the scheme are proved through the embodiment.

Description

technical field [0001] The invention belongs to the field of computing offloading in mobile edge computing, and is an intelligent dynamic task computing offloading method based on an edge computing system. Background technique [0002] In recent years, various network technologies have developed rapidly, and more and more IoT devices are connected to wireless networks, which has brought enormous pressure to the current communication network. The emergence of complex distributed applications and the popularity of emerging 5G networks also place more new requirements on IoT devices. In order to alleviate the pressure of wireless networks and IoT devices, many new network architectures have been proposed, and Mobile edge computing (MEC), as a promising IoT paradigm, is one of the most worthwhile research network architectures. [0003] The initial framework of MEC is to integrate fog computing with the Internet of Things, which allows some network devices (such as servers, etc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/445G06F9/50
CPCG06F9/4843G06F9/44594G06F9/5027G06F2209/509
Inventor 王克浩熊振华刘克中陈默子曾旭明
Owner WUHAN UNIV OF TECH