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Resource allocation method suitable for mobile edge computing scenes

A technology of resource allocation and edge computing, applied in advanced technology, electrical components, climate sustainability, etc., can solve problems such as not considering energy consumption, not considering cache calculation results, etc.

Active Publication Date: 2018-02-16
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, this article only focuses on one computing task and does not consider caching the computing results for future reuse
T.X.Tran, P.Pandey, A.Hajisami, and D.Pompili in the article "Collaborative multi-bitrate video caching and processing in mobile-edge computing networks" proposed collaborative multi-bitrate video caching and processing in multi-user mobile edge computing systems and processing, thereby minimizing the backhaul load, but does not consider the energy consumption of task execution and calculation result download

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  • Resource allocation method suitable for mobile edge computing scenes
  • Resource allocation method suitable for mobile edge computing scenes
  • Resource allocation method suitable for mobile edge computing scenes

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Embodiment Construction

[0093] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0094] The present invention provides a resource allocation method suitable for mobile edge computing scenarios. The method realizes optimal task cache and resource allocation of upload and download time or low-complexity suboptimal task cache and upload and download time based on task cache and transmission optimization mechanism. Resource allocation.

[0095] The proposed task caching and transmission optimization mechanism is as follows: when the calculation result of the task to be performed by the mobile device has been cached by the base station, the mobile device downloads the ...

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Abstract

The invention relates to a resource allocation method suitable for mobile edge computing scenes. The method is used for realizing optimal task cache and uploading and downloading time allocation and low-complexity suboptimum task cache and uploading and downloading time allocation based on task cache and transmission optimization mechanisms, when the computation result of a to-be-executed task ofa mobile device has been cached by a base station, the mobile device downloads the computation result of the task from a base station, otherwise, the mobile device uploads the task to the base stationfor computation, and then downloads the computation result of the task from the base station, when multiple mobile devices upload the same task to the base station, the base station selects the mobile device with the best channel to achieve the uploading, when the multiple mobile devices download the computation result of the same task, the base station sends the computation result of the task ina multicast mode, and the mobile device having the worst channel just successfully receives the computation result. Compared with the prior art, the resource allocation method has the advantages of jointly optimizing the cache and uploading and downloading times and saving energy.

Description

technical field [0001] The present invention relates to the field of mobile edge computing of wireless communication technology, in particular to a resource allocation method suitable for mobile edge computing scenarios. Background technique [0002] In the future, many computing-intensive and delay-sensitive tasks will need to be run on mobile devices. These tasks have a huge amount of computation and need to be completed in a short period of time, such as virtual reality, augmented reality, real-time online games, real-time monitoring, Navigation and Ultra High Definition (UHD) video streaming, and more. However, due to limited resources, mobile devices cannot complete tasks in a short period of time, and the power of the mobile devices is limited. Excessive energy consumption makes the standby time of the mobile devices shorter. Mobile edge computing is a key technology to meet the demands of future computing-intensive and latency-sensitive tasks. Mobile edge computing,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02
CPCH04W24/02Y02D30/70
Inventor 崔颖郭成军刘志何雯倪纯
Owner SHANGHAI JIAO TONG UNIV
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