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Method and device for forecasting continuance on-line time of peer-to-peer body of peer-to-peer network

A peer-to-peer network and peer-to-peer technology, applied in the network field, can solve problems such as difficult to reflect the Peer life cycle, P2P network system anti-interference ability is not strong, etc.

Inactive Publication Date: 2009-07-29
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] The existing technology uses the power law distribution to predict the online time of the Peer. Practice shows that the prediction results are usually difficult to reflect the real life cycle of the Peer, so that the actual anti-interference ability of the P2P network system is not strong.

Method used

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  • Method and device for forecasting continuance on-line time of peer-to-peer body of peer-to-peer network
  • Method and device for forecasting continuance on-line time of peer-to-peer body of peer-to-peer network
  • Method and device for forecasting continuance on-line time of peer-to-peer body of peer-to-peer network

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Embodiment Construction

[0039] The technical solutions of the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0040] The reason why the existing Peer life cycle prediction results are difficult to reflect the actual life cycle of the Peer is that when the existing technology uses the power law distribution model to predict the life cycle, only the Δt when the Peer is online is considered. alive and Δt since The impact on the prediction results reflects the impact of the Peer's current online status on the prediction results, and the online status is not necessarily an important factor affecting the Peer life cycle. In fact, because the user's online behavior usually shows certain user habits, for example, the online time of the user usually concentrates between 9:00 and 10:00 in the morning and between 20:00 and 22:00 in the evening, so , Peer's historical online time should be used as an important factor affecting the p...

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Abstract

The embodiment of the invention provides a method for predicating the continuous online time period of peer in a peer-to-peer network, comprising the following steps: M historical lifecycle sample data si of the peer is acquired, wherein, i equals to a number between 1 and M; the number n of Gaussian components in a Gaussian mixed model to be established is determined, wherein, n is a positive integer more than or equal to 2; the Gaussian mixed model expresses the probability distribution of the continuous online time period of the peer; the Gaussian mixed model is established by utilizing si and n; and the continuous online time period of the peer is predicated by utilizing the established Gaussian mixed model and the existing online time period. The embodiment of the invention also provides a device for predicating the continuous online time period of the peer in the peer-to-peer network, as well as the peer and a modeling device. Based on the historical lifecycle and the Gaussian mixed model, the technical proposal provided by the embodiment of the invention can obtain a prediction result which is closer to the actual continuous online time period of the peer.

Description

technical field [0001] The invention relates to the technical field of peer-to-peer network (P2P, Peer-to-Peer), in particular to a method and device for predicting the online duration of peers in the peer-to-peer network. Background technique [0002] Different from the traditional client / server model, there is no central server node in the P2P network, in which each node can be used as a server to provide services for other nodes, and at the same time, can enjoy the services provided by other nodes when they are used as servers . Therefore, in the P2P network, each Peer node is in the same position, and each node is called a peer, or a Peer. [0003] The P2P network is a self-organizing network system. In this network, the behavior of each Peer joining the network or withdrawing from the network is random. Since in the P2P network, each Peer acts as a server that provides services for other Peers, therefore, the randomness of Peer joining or exiting the system will cause...

Claims

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Application Information

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IPC IPC(8): H04L12/46H04L29/06
Inventor 施广宇龙有水龙灿
Owner HUAWEI TECH CO LTD