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An Efficient Content based Routing Algorithm for a Unified Communication Cloud Network

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IJCA Special Issue on International Conference on Communication, Computing and Information Technology
© 2013 by IJCA Journal
ICCCMIT - Number 1
Year of Publication: 2013
Authors:
A. Kovalan
Rajini
V. Sankaran

A Kovalan, Rajini and V Sankaran. Article: An Efficient Content based Routing Algorithm for a Unified Communication Cloud Network. IJCA Special Issue on International Conference on Communication, Computing and Information Technology ICCCMIT(1):8-11, February 2013. Full text available. BibTeX

@article{key:article,
	author = {A. Kovalan and Rajini and V. Sankaran},
	title = {Article: An Efficient Content based Routing Algorithm for a Unified Communication Cloud Network},
	journal = {IJCA Special Issue on International Conference on Communication, Computing and Information Technology},
	year = {2013},
	volume = {ICCCMIT},
	number = {1},
	pages = {8-11},
	month = {February},
	note = {Full text available}
}

Abstract

Unified communication consisting of Voice, Video and Data play an important role in present day internet based business communications. Quality of this communication is highly essential and even though this quality is directly depend on the bandwidth of the network, it get impacted by various other factors like protocol compliance of the end media devices, real time occurrence of delay at each router and packet drops. These factors are captured as metrics and clouds of database servers and processing servers are used to store these metrics to do real time monitoring of the quality of calls. In this paper few new quality metrics like buffer queue size allocated for ports and time delay at each router for routing are introduced and an efficient algorithm is developed which will use these new metrics to execute an effecting routing decisions for communication packets based on content type of these packets which will result in to an optimized way of storing the metrics values in the cloud database servers. Any efficiency in storing these metrics in cloud servers and real time quality evaluation will result into the efficient filling up of the quality of service(QOS) bits which can be used for optimized packet-drop free routing.

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