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Author Maqsood, Tahir ♦ Khalid, Osman ♦ Irfan, Rizwana ♦ Madani, Sajjad A. ♦ Khan, Samee U.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2016
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Scalability ♦ Centralized social networks ♦ Decentralized social networks ♦ Hybrid social networks ♦ Social network
Abstract The last decade witnessed a tremendous increase in popularity and usage of social network services, such as Facebook, Twitter, and YouTube. Moreover, advances in Web technologies coupled with social networks has enabled users to not only access, but also generate, content in many forms. The overwhelming amount of produced content and resulting network traffic gives rise to precarious scalability issues for social networks, such as handling a large number of users, infrastructure management, internal network traffic, content dissemination, and data storage. There are few surveys conducted to explore the different dimensions of social networks, such as security, privacy, and data acquisition. Most of the surveys focus on privacy or security-related issues and do not specifically address scalability challenges faced by social networks. In this survey, we provide a comprehensive study of social networks along with their significant characteristics and categorize social network architectures into three broad categories: (a) centralized, (b) decentralized, and (c) hybrid. We also highlight various scalability issues faced by social network architectures. Finally, a qualitative comparison of presented architectures is provided, which is based on various scalability metrics, such as availability, latency, interserver communication, cost of resources, and energy consumption, just to name a few.
Description Author Affiliation: North Dakota State University, North Dakota, USA (Irfan, Rizwana; Khan, Samee U.); COMSATS Institute of Information Technology, Abbottabad, Pakistan (Maqsood, Tahir; Khalid, Osman; Madani, Sajjad A.)
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-09-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 49
Issue Number 2
Page Count 42
Starting Page 1
Ending Page 42

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Source: ACM Digital Library