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Content Provider | ACM Digital Library |
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Author | Mignet, Laurent Ranganathan, Anand Kumar, Vibhore Kothari, Ravi Verscheure, Olivier Nathan, Senthil Udrea, Octavian Bouillet, Eric Turaga, Deepak S. |
Abstract | A call detail record (CDR), is a data record produced by a telephone exchange or other telecommunications equipment documenting the details of a phone call that passed through the exchange or equipment. Telecommunications companies (or "telcos") use CDRs for purposes of billing, extracting business intelligence, fraud detection, etc. However, they face a Big Data challenge -- many telcos get billions of CDRs per day, and are unable to keep up with these data rates. In this paper, we describe a stream processing solution for processing CDRs that allows scaling the processing to handle 6 billion CDRs per day for a certain telco. We describe the stream processing application (running on the IBM InfoSphere Streams platform) that performs CDR mediation and analysis in real-time. We also describe various business and operational constraints and the legacy software ecosystem - seldom discussed in academic gatherings - that make the problem more challenging than originally meets the eye. The outcome of our work is a highly configurable and scalable CDR processing stream with several functional and performance capabilities that are a first for the telecommunication industry. |
Starting Page | 264 |
Ending Page | 267 |
Page Count | 4 |
File Format | |
ISBN | 9781450313155 |
DOI | 10.1145/2335484.2335513 |
Language | English |
Publisher | Association for Computing Machinery (ACM) |
Publisher Date | 2012-07-16 |
Publisher Place | New York |
Access Restriction | Subscribed |
Subject Keyword | Call detail records Ibm infosphere streams Real-time analytics Mediation |
Content Type | Text |
Resource Type | Article |
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