Social user data optimization placing method based on hypergraph segmentation
A technology for user data and graph segmentation, which is applied in the fields of social networks, big data and distributed storage, can solve the problems of reducing traffic in the data center, network congestion, and increasing data access delay, so as to reduce traffic and maintain load balance Effect
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2017-10-17
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Abstract
Description
technical field
[0001] The present invention relates to the fields of social network, big data and distributed storage, in particular to a method for optimal placement of social user data based on hypergraph segmentation in a social network storage system. Background technique
[0002] Nowadays, Online Social Networks (OSNs for short) such as Facebook, Twitter and WeChat have become one of the most popular Internet applications. Taking Facebook as an example, its monthly active users reached 1.59 billion at the beginning of 2016, equivalent to nearly a quarter of the world's population using Facebook as a social tool to communicate on the Internet. The reason why online social networks are so popular is that apart from the popularity of the Internet, it is more important that they can project people's social relationships and activities into cyberspace, making communication more convenient, fast and efficient, especially for users who are geographically far apart.
[0003] ...
Examples
Embodiment Construction
[0056] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0057] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0058] An optimal placement method for social user data based on hypergraph segmentation, the goal of which is to reduce the traffic in the data center. The flowchart of the method of the present invention is as Figure 4 shown, including the following steps:
[0059] Step 1) Model the social network into a hypergraph G=(V, E), where the vertex set V represents the set of all social users, and the edge set E represents the set of interaction relationships between social users;
[0060] Step 2) divide the hypergraph generated by step 1...