Hot resource search method and device in point-to-point file sharing

Abstract

The present invented method contains first identifying some resource file identification in PTP file sharing service, according to said identification to proceed judging analysing, preserving topical resource and possible becoming topical resource file identification in data table. According to pre - set time interval and different PTP file sharing service structure obtaining every file identification corresponded resource by user request shared user links number; according to pre - set time span calculating current time span user links total number in data table, and according to this to proceed rank to obtain topical resource rank status. In this way, said invention provides more convenient sharing service to partial topical resource in data table, thereby raising network utilization ratio.

Description

technical field [0001] The invention relates to a hot resource search method and device in peer-to-peer file sharing, and belongs to the technical field of network communication. Background technique [0002] The application of P2P (Peer to Peer, point-to-point) technology makes full use of network resources. It can not only fully utilize the processor computing power, disk storage capacity, and network bandwidth resources of these computing units, but also provide powerful The distributed computing power and fast and efficient large-scale search function, the most important thing is to provide users with fast and convenient information sharing services. However, the many advantages of P2P applications also bring security risks and resource waste to the network. For example, the high-speed transmission of P2P streams occupies 60% to 80% of the network bandwidth, which is likely to cause the bottleneck link of enterprises and ISPs to be blocked. Secondly, The large-capacity ...

AI Technical Summary

Problems solved by technology

[0006] Existing popularity statistics methods have done more researches on the popularity of webpages, focusing on the browsing behavior of users, while the popular links in the peer-to-peer file service need to be selected from the relevant peer-to-peer file service according to the file identification of the user link. information from sources, and because peer-to-peer file services are particularly affected by emergencies, the existing statistical methods and algorithms are not suitable for counting popularity links in peer-to-peer file sharing. Therefore, it is necessary to design a new A statistical method for popular link files in point-to-point file sharing services, so as to provide users with better file download services

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