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Cache arrangement system based on genetic algorithm and cache method

A genetic algorithm and caching technology, which is applied in the field of cache layout system based on genetic algorithm, can solve the problem of increasing data volume and achieve the effects of increasing speed, improving utilization rate, and reducing cache content redundancy

Active Publication Date: 2018-11-06
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Thanks to SVC, all aspects of the caching strategy increase significantly, because the cache content that needs to be decided is not just one video file, but each video layer, and the amount of data processed is multiplied

Method used

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  • Cache arrangement system based on genetic algorithm and cache method
  • Cache arrangement system based on genetic algorithm and cache method

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Embodiment Construction

[0036] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings. In the following description, "node" refers to a device that communicates with each other and has a cache (Cache) in the communication network. Depending on the network used by the user, for example, it can be a mobile communication base station or a wireless access point. The current node refers to the device connected to the user, and the adjacent nodes are the nodes adjacent to the current node according to the network topology. This node forms an area with neighboring nodes.

[0037] figure 1 It is a system structure diagram of a cache arrangement system based on a genetic algorithm. The cache arrangement system is arranged in the local cache (Cache) of a node. The system includes: a user interface, a request processing module, a cache management module, a local cache module, a cache information module and Information monitoring and intera...

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Abstract

The invention discloses a cache arrangement system based on a genetic algorithm, and a cache method. The method comprises the following steps: (1) obtaining a size matrix and a user demand matrix of some popular videos according to the user historical request information; (2) using the genetic algorithm to give a caching strategy of these videos; (3) when the request arrives, directly taking fromthe local cache region if the video is in the local cache region, and downloading from the neighboring node or remote server if not; and (4) calculating the total delay for each request to obtain an optimization of the delay after the cache. The invention may provide a caching strategy according to the popularity of the video and the user's request for different video quality requests, find the optimization degree of the delay to verify the correctness of the caching strategy, and continuously change the caching arrangement as the user demand information is continuously updated, thereby ensuring that the node continues to cache hot contents and gets a cache hit ratio that is asymptotic to the ideal cache method.

Description

technical field [0001] The invention belongs to the technical field of mobile communication networks, and in particular relates to a cache layout system based on a genetic algorithm. Background technique [0002] Today, mobile video services have entered a period of rapid development, driving the rapid growth of mobile video traffic services. Video on demand has become one of the main sources of revenue for wired and wireless network operators and providers. Video-on-demand services have high requirements on time delay, and in order to meet the growing video demand, how to achieve the smallest possible delay in video transmission is crucial. [0003] An effective way to achieve this goal is to cache video content as close as possible to the end user, such as a mobile base station close to the user. The idea of ​​this distributed cache architecture has been proposed and used in content distribution networks and telecommunication content distribution networks, and has been g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/231H04N21/239H04N21/2225H04N21/218G06N3/12
CPCG06N3/126H04N21/2181H04N21/2225H04N21/23103H04N21/23106H04N21/23113H04N21/2393
Inventor 周爱君蒋雁翔
Owner SOUTHEAST UNIV
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