Renewable self-adaptive calculation unloading layered service quality optimization method

A layered quality of service, adaptive computing technology, applied in the field of cloud servers, can solve the problems of reducing application function and service quality, ignoring the reusability of application terminal equipment, etc.

Active Publication Date: 2020-04-10
EAST CHINA NORMAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing fog computing system design focuses on reducing the application processing delay, ignoring the real-time requirements of the application and the reusability of the terminal equipment, which significantly reduces the function and quality of service (QoS) of the application.

Method used

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  • Renewable self-adaptive calculation unloading layered service quality optimization method
  • Renewable self-adaptive calculation unloading layered service quality optimization method
  • Renewable self-adaptive calculation unloading layered service quality optimization method

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Embodiment 1

[0231] The present invention first compares the proposed energy-application allocation scheme with three benchmark algorithms RAN, AVG and CAF. The benchmark algorithms RAN and AVG distribute the available energy supply in the end device to the individual applications in a random and average manner, respectively. The benchmark algorithm CAF assigns higher priority to applications with larger forced cycles, so that these applications can get more energy to complete their execution. After completing the energy-to-application allocation, all algorithms utilize the proposed MILP-based scheme to perform energy-to-component allocation. Then, the developed MILP-based energy-component allocation scheme is compared with two benchmark algorithms, PSO and GEN. The benchmark algorithms PSO and GAN utilize the well-known particle swarm optimization algorithm and genetic algorithm for component-scale energy allocation, respectively. Finally, the proposed computational offloading scheme is...

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Abstract

The invention discloses a renewable self-adaptive calculation unloading layered service quality optimization method. The method is characterized in that a layered QoS optimization method is adopted; agiven target system and a group of real-time application programs are designed; local scheduling is generated by continuously performing energy distribution of an application level and a component level on a terminal device layer, and an optimal local-remote scheduling solution is exported through renewable adaptive calculation unloading on a fog layer, and the method specifically comprises the steps of constructing an application model, a QoS model and an energy model. Compared with the prior art, the QoS of the whole system is improved by 135.88%, the QoS of the single application program is improved by 48.49%, the QoS of the whole system is optimized, released energy is used for enhancing the QoS of the optimal locally executed applications, and the method is simple, convenient and high in efficiency.

Description

technical field [0001] The invention relates to the technical field of cloud servers, in particular to a method for optimizing layered service quality of renewable adaptive computing offloading in fog computing. Background technique [0002] With the popularization of emerging mobile applications, more and more physical devices will be connected to the Internet. Due to the main disadvantage of high latency, the traditional architecture paradigm of "cloud server-terminal device" is used to analyze the transmission data from many terminal devices. And decisions are often ineffective or even infeasible. Fog computing, which pushes computing from cloud servers to the edge of the network, is thus proposed as an alternative solution to realize the Internet of Things. Fog computing is an emerging architectural paradigm for implementing the Internet of Things, where computing is moved from cloud servers to the edge of the network. [0003] The existing fog computing system design ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50G06F9/54G06F9/445
CPCG06F9/4881G06F9/5022G06F9/548G06F9/44594G06F2209/549Y02D10/00Y02D30/70
Inventor 魏同权张润泽
Owner EAST CHINA NORMAL UNIV
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