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Titlebook: Data Storage for Social Networks; A Socially Aware App Duc A. Tran Book 2012 Duc A. Tran 2012 Data Replication.Data Storage.Distributed Sys

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發(fā)表于 2025-3-21 16:47:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Data Storage for Social Networks
副標(biāo)題A Socially Aware App
編輯Duc A. Tran
視頻videohttp://file.papertrans.cn/264/263154/263154.mp4
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
叢書(shū)名稱(chēng)SpringerBriefs in Optimization
圖書(shū)封面Titlebook: Data Storage for Social Networks; A Socially Aware App Duc A. Tran Book 2012 Duc A. Tran 2012 Data Replication.Data Storage.Distributed Sys
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
關(guān)鍵詞Data Replication; Data Storage; Distributed Systems; Online Social Networks; Socially Aware Networks
版次1
doihttps://doi.org/10.1007/978-1-4614-4636-1
isbn_softcover978-1-4614-4635-4
isbn_ebook978-1-4614-4636-1Series ISSN 2190-8354 Series E-ISSN 2191-575X
issn_series 2190-8354
copyrightDuc A. Tran 2012
The information of publication is updating

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發(fā)表于 2025-3-21 20:25:54 | 只看該作者
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發(fā)表于 2025-3-22 03:30:18 | 只看該作者
Epilogue,eplication, two of the most important problems in storage design. Understanding that there are other issues, including data modeling, versioning, and network management, we hope that the concepts and techniques discussed in this book will serve as a building block for future development of truly socially aware storage systems.
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發(fā)表于 2025-3-22 08:35:44 | 只看該作者
Computational Modelling of the Braink or blog sites are visited by 75% of global consumers who go online. Among mobile users, social networking would surpass voice as the most popular form of mobile communication by 2015, according to Airwide Solutions [2].
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https://doi.org/10.1007/978-3-030-89439-9network and therefore should be stored in close proximity on disk. Another way to look at locality is in terms of geography. It may be desirable to store in the same server the data for those users that reside in the same geographic region (e.g., think Akamai).
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發(fā)表于 2025-3-23 07:37:48 | 只看該作者
From Player Types to Motivationime because of the write rate vector .. Thus trade-offs are inevitable and we should be specific about which objectives are given more priority before the actual design. S-PUT is specifically designed for systems that prefer low read load and balanced write load.
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