Towards Effective Social Network System Implementation

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Authors	ŠKRABÁLEK Jaroslav KUNC Petr NGUYEN Filip PITNER Tomáš
Year of publication	2013
Type	Article in Proceedings
Conference	New Trends in Databases and Information Systems
MU Faculty or unit	Faculty of Informatics
Citation
Web	http://www.springerlink.com/content/v72q530lk0u28824/
Doi	http://dx.doi.org/10.1007/978-3-642-32518-2_31
Field	Informatics
Keywords	social network; architecture; database; cassandra; mongodb
Description	n this paper we present our latest research in the area of Social Network implementations. Both business and technological aspects of Social Network development is considered. There are many tools, languages and methodics for developing computer systems (and subset of Social Networks). No research is done however to uncover reason behind usage of such a systems. We describe effective approaches of developing specific parts of Social Networks with special attention to data layer (using Hadoop, HBase and Apache Cassandra) which forms basis of any Social Network and is highly demanding for performance and scalability.
Related projects:	Zastoupení ČR v European Research Consortium for Informatics and Mathematics