SpringerBriefs in Optimization

Data Storage for Social Networks

A Socially Aware Approach

Authors: Tran, Duc A.

  • 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
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About this book

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 these data, so that when a user issues a read request, all its relevant data can be returned quickly and efficiently. Social locality is not a design factor in traditional storage systems where data requests are always processed independently.

Even for today’s OSNs, social locality is not yet considered in their data partition schemes. These schemes rely on  distributed hash tables (DHT), using consistent hashing to assign the users’ data to the servers. The random nature of DHT leads to weak social locality which has been shown to result in poor performance under heavy request loads.

Data Storage for Social Networks: A Socially Aware Approach is aimed at reviewing the current literature of data storage for online social networks and discussing new methods that take into account social awareness in designing efficient data storage.

Reviews

From the reviews:

“This short and concisely presented survey concludes with a discussion of two socially aware systems: S-PUT, for data partitioning, and S-CLONE, for data replication. The latter part of the book discusses these systems in detail, including system design, algorithms (with equations), and analysis results. … I recommend it as an enjoyable read for anyone who is interested in database design, especially in the context of social media applications. Computer science students especially should look at it.” (Alyx Macfadyen, ACM Computing Reviews, December, 2012)

“The objective of this book is to present a new approach to social data storage which optimizes the distribution and replication of data. … The book is clearly written and structured, also the illustrations help readers to understand the presented concepts. The book is aimed at graduate and PhD students, software engineers and researchers interested in designing and implementing efficient distributed storage systems.” (Mihai Gabroveanu, Zentralblatt MATH, Vol. 1257, 2013)


Table of contents (5 chapters)

Buy this book

eBook $34.99
price for USA (gross)
  • ISBN 978-1-4614-4636-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $49.95
price for USA
  • ISBN 978-1-4614-4635-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Data Storage for Social Networks
Book Subtitle
A Socially Aware Approach
Authors
Series Title
SpringerBriefs in Optimization
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Duc A. Tran
eBook ISBN
978-1-4614-4636-1
DOI
10.1007/978-1-4614-4636-1
Softcover ISBN
978-1-4614-4635-4
Series ISSN
2190-8354
Edition Number
1
Number of Pages
VIII, 47
Number of Illustrations and Tables
10 b/w illustrations, 2 illustrations in colour
Topics