书目名称 | Data Storage for Social Networks | 副标题 | A Socially Aware App | 编辑 | Duc A. Tran | 视频video | | 概述 | Discusses existing storage solutions for today‘s most popular online social networks (OSNs)..Hot topic of social networks will appeal to a broad readership.Fuses existing literature and new methods | 丛书名称 | SpringerBriefs in Optimization | 图书封面 |  | 描述 | .Evidenced by the success of Facebook, Twitter, and LinkedIn, online social networks (OSNs) have become ubiquitous, offering novel ways for people to access information and communicate with each other. As the increasing popularity of social networking is undeniable, scalability is an important issue for any OSN that wants to serve a large number of users. Storing user data for the entire network on a single server can quickly lead to a bottleneck, and, consequently, more servers are needed to expand storage capacity and lower data request traffic per server. Adding more servers is just one step to address scalability. .The next step is to determine how best to store the data across multiple servers. This problem has been widely-studied in the literature of distributed and database systems. OSNs, however, represent a different class of data systems. When a user spends time on a social network, the data mostly requested is her own and that of her friends; e.g., in Facebook or Twitter, these data are the status updates posted by herself as well as that posted by the friends. This so-called social locality should be taken into account when determining the server locations to store thes | 出版日期 | Book 2012 | 关键词 | Data Replication; Data Storage; Distributed Systems; Online Social Networks; Socially Aware Networks | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4614-4636-1 | isbn_softcover | 978-1-4614-4635-4 | isbn_ebook | 978-1-4614-4636-1Series ISSN 2190-8354 Series E-ISSN 2191-575X | issn_series | 2190-8354 | copyright | Duc A. Tran 2012 |
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