Dynamic resource allocation method based on evolutionary game in mobile edge computing system

A technology of dynamic resource allocation and cloud computing, which is applied in transmission systems, digital transmission systems, network traffic/resource management, etc., and can solve problems such as the size and energy of smart mobile devices that cannot be met

Active Publication Date: 2017-12-12
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, with the continuous improvement of terminal application requirements and computing power r...

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  • Dynamic resource allocation method based on evolutionary game in mobile edge computing system
  • Dynamic resource allocation method based on evolutionary game in mobile edge computing system
  • Dynamic resource allocation method based on evolutionary game in mobile edge computing system

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Embodiment Construction

[0037] Based on the evolutionary game, the present invention makes full use of the limited computing resources in the cloud, and aims at minimizing the offloading cost of all terminal tasks, while ensuring the real-time performance of each terminal task and meeting the task offloading requirements of each mobile terminal. The implementation method of the present invention will be further described below in conjunction with the accompanying drawings.

[0038] as attached figure 1 As shown, consider a heterogeneous network convergence scenario with a two-layer Macro-Small overlapping coverage structure in the mobile edge computing environment, where one macro base station (Macro Base Station, MBS) and K small base stations (SmallBase Station, SBS) are deployed In a macro cell (Macrocell) network. It can be seen from the figure that the MBS is deployed at the center of the Macrocell network, and the SBS is deployed at the center of the Small cell (Smallcell) network. As for the...

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Abstract

The invention discloses a dynamic resource allocation method based on evolutionary game in a mobile edge computing system. The method comprises the following steps that (1) a network is divided into a plurality of areas according to the network coverage condition, accessible service points in the areas are different, and a centralized controller is arranged in the network; (2) terminals with the task unloading need in the same area form a population, and the terminals in the population establish task unloading cost functions; (3) all terminals in each population randomly select accessible SPs in an SP selection strategy set; the evolutionary game is established in each population in the network; (4) the terminals in each population compute task unloading costs and send the SP selection strategies and the cost information to the controller; (5) the population carries out SP selection strategy update according to dynamic copy; and (6) the dynamic copy reaches evolution equilibrium. The method fully utilizes the computing resources and the radio resources of the SPs, aims at the equal task unloading costs of all terminals in the populations and meets the task unloading need of each mobile terminal based on the evolutionary game.

Description

technical field [0001] The present invention relates to mobile edge computing technology, in particular to an evolutionary game-based dynamic resource allocation method in a mobile edge cloud computing system (Mobile Edge Computing, MEC). Background technique [0002] In recent years, cloud computing has become a recognized next-generation computing infrastructure in academia and industry. Compared with traditional IT infrastructure, it can provide many features such as scalability, agility, economic efficiency, etc. At the same time, with the rapid deployment of wireless broadband networks and the increasing popularity of smart mobile devices, more and more terminals use Internet services. However, with the continuous improvement of terminal application requirements and computing power requirements, smart mobile devices cannot meet the constraints due to size and energy. Therefore, the mobile edge computing system (Mobile Edge Computing, MEC) integrates cloudlets (Cloudle...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L12/901H04W28/08H04W48/20H04L45/80
CPCH04L12/5691H04W28/08H04W48/20H04L67/1001H04L67/60
Inventor 夏玮玮张静黄博南邹倩程之序燕锋沈连丰
Owner SOUTHEAST UNIV
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