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A Scalable Server Architecture for Mobile Presence Services in Social Network Applications

Addala Radha Krishna*

* Associate Professor, Computer Science & Engineering, VSL Engineering College, Kakinada, Andhra Pradesh, India.

** Professor, Computer Science & Engineering, SIT, JNTU, Hyderabad, Andhra Pradesh, India.

Periodicity:August - October'2014
DOI : https://doi.org/10.26634/jmt.1.3.3274

Abstract

The use of social network is becoming gradually more popular on mobile devices. The important component of a social network application is a mobile presence service as it continuously uploads the existence information of each user's resembling online or offline, GPS site keep posting of friends information continually. In large-scale mobile presence services, if continuously keeping up to date information, then the huge number of messages shared out by the presence server may show the way to a scalability problem. So, the authors planned for an well-organized and scalable server design called Presence Cloud, to address the problems. Presence Cloud allows mobile presence services to support for the social network applications. Presence Cloud finds the existence of his/her companion and inform them of his/her appearance when a mobile user joins a network. For efficient presence searching, Presence Cloud categorizes presence servers categorized interested in a quorum-based server to server design in support of well-organized existence penetrating presence Cloud. To achieve small constant search latency like Directed search algorithms and a one-hop caching strategy, is also controlled by it. The authors scrutinized the presentation of Presence Cloud in periods of the search rate and search approval levels. Overall messages produced by the presence server when a user appears is called as the search rate. Search approval stage is characterized as the instance it obtains to find the new or in words user's companion catalog. The consequences of replications exhibit that Presence Cloud accomplishes presentation in the search rate without compromising search approval.

Keywords

Cloud computing, Social networks, Distributed Presence Servers, Mobile Presence Services.

How to Cite this Article?

Krishna, A.R., and Sekharaiah, K.C. (2014). A Scalable Server Architecture for Mobile Presence Services in Social Network Applications. i-manager’s Journal on Mobile Applications and Technologies, 1(3), 21-27. https://doi.org/10.26634/jmt.1.3.3274

References

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[3]. C. Chi, R. Hao, D. Wang, and Z.-Z. Cao, (2008). ”IMS presence server: Traffic analysis and performance modelling,” Proc. of IEEE ICNP, ISSN: 1092-1648, pp.63–72.

[4]. P. Saint-Andre.,(2004). ”Extensible Messaging and Presence Protocol (XMPP): Instant messaging and presence describes Instant Messaging (IM), the most common application of XMPP,” RFC 3921.

[5]. B. Campbell, J. Rosenberg, H. Schulzrinne, C. Huitema, and D. Gurle, (2002). ”Session Initiation Protocol. (SIP) extension for instant messaging,” RFC 3428.

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[7]. P. Saint-Andre (2008). ”Interdomain presence scaling analysis for the extensible messaging and presence protocol (xmpp),” RFC Internet Draft.

[8]. A. Houri, T. Rang, and E. Aoki, (2009). ”Problem statement for sip/simple,” RFC Internet-Draft.

[9]. A. Houri, S. Parameswar, E. Aoki, V. Singh, and H. Schulzrinne (2009). ”Scaling requirements for presence insip/simple,” RFC Internet- Draft.

[10]. P. Saint-Andre (2004). ”Extensible Messaging and Presence Protocol (XMPP): Instant messaging and presence describes Instant Messaging (IM), the most common application of XMPP,” RFC 3921.

[11]. B. Campbell, J. Rosenberg, H. Schulzrinne, C. Huitema, and D. Gurle, (2002). ”Session Initiation Protocol (SIP) extension for instant messaging,” RFC 3428.

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