Graph-based Campaign Amplification in Telecom Cloud

M. Saravanan, Sandeep Akhouri, Loganath Thamizharasu


Majority of telecom operators are making a transition from a monolithic, stove-pipe approach of creating services to a more flexible architecture that provides them agility to rapidly develop and deploy services. New revenue streams require an ability to rapidly identify and target dynamic shifts in traffic patterns and subscriber behaviour. As subscriber behaviour morphs with plans, promotions, devices, location and time, this presents challenges and opportunities for an operator to create and launch targeted campaigns. The enormous volume of data being generated requires a scalable platform for processing massive xDR (eg. Call Detail Records). This paper proposes graph databases in a telecom cloud environment for quickly identifying trends, isolating a targeted subscriber base and rapidly launching campaigns. We also highlight the limitations of a conventional relational database in terms of capturing complex relationships as compared to a NoSQL graph database and the benefits of automatic provisioning and deployment in the cloud environment.


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Paper Citation

in Harvard Style

Saravanan M., Akhouri S. and Thamizharasu L. (2012). Graph-based Campaign Amplification in Telecom Cloud . In Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-18-1, pages 195-198. DOI: 10.5220/0004050801950198

in Bibtex Style

author={M. Saravanan and Sandeep Akhouri and Loganath Thamizharasu},
title={Graph-based Campaign Amplification in Telecom Cloud},
booktitle={Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,},

in EndNote Style

JO - Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Graph-based Campaign Amplification in Telecom Cloud
SN - 978-989-8565-18-1
AU - Saravanan M.
AU - Akhouri S.
AU - Thamizharasu L.
PY - 2012
SP - 195
EP - 198
DO - 10.5220/0004050801950198