Distributed task unloading method based on cost efficiency

A task and cost technology, applied in power management, advanced technology, climate sustainability, etc., can solve the problems of increasing energy cost and increasing the energy consumption burden of user equipment

Active Publication Date: 2020-02-14
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Especially when considering solving the delay problem, in order to shorten the delay in the offloading calculation process, excessively increasing the transmission power and increasing the calculat

Method used

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  • Distributed task unloading method based on cost efficiency
  • Distributed task unloading method based on cost efficiency
  • Distributed task unloading method based on cost efficiency

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Embodiment Construction

[0078] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0079] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be understoo...

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Abstract

The invention provides a distributed task unloading method based on cost efficiency. The method comprises the following steps: in each time slot, obtaining the position of each piece of user equipment, the productivity condition of each edge node server and a task needing to be executed by each piece of user equipment; as for a task operated by each piece of user equipment calculating energy consumption, time delay and calculation data volume which need to be consumed for locally executing and unloading the task to each edge node server in the user equipment; and obtaining the optimal execution scheme of the task with the highest cost efficiency under the condition of meeting the task delay requirement through comparison, and integrating the optimal execution schemes of all user equipmentto obtain the task unloading scheme of the system under the time slot. The optimal unloading decision of the system is determined by taking maximization of the cost efficiency of each user as a targetand considering the constraints of the computing power and the time delay. The algorithm provided by the invention can effectively improve the cost efficiency of the user and significantly reduce theenergy cost of the system.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a cost-efficiency-based distributed task offloading method. Background technique [0002] In recent years, with the continuous development of IoT technology, various new computing-intensive applications have emerged in large numbers. However, the limited power supply capacity and computing power of user equipment greatly restrict the development of applications. At the same time, mobile edge computing emerges as a new network architecture, which can provide computing and caching services for user equipment. By offloading tasks to edge node servers close to user equipment for calculation, it can effectively alleviate the power supply of user equipment. And computing pressure, improve user service quality. [0003] With the deployment of a large number of edge node servers, formulating a reasonable task offloading strategy and realizing efficient cooperation betwee...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W28/02H04W52/02
CPCH04W24/06H04W28/0221H04W28/0236H04W52/0206Y02D30/70
Inventor 韩东升韩洵陈智雄
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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