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Parallel and pipelined processing of large-scale mobile comminucation data using hadoop open-source framework | IEEE Conference Publication | IEEE Xplore

Parallel and pipelined processing of large-scale mobile comminucation data using hadoop open-source framework


Abstract:

The fast increase in mobile device and bandwidth usage is generating big workloads on the IT infrastructures of mobile service providers and increasing management costs. ...Show More

Abstract:

The fast increase in mobile device and bandwidth usage is generating big workloads on the IT infrastructures of mobile service providers and increasing management costs. These providers collect log files continuously and use these logs for billing, operational and marketing purposes. In this paper, we describe the design, implementation and efficient parallel processing of large-scale mobile logs using the open-source Hadoop-based low-cost private cloud system for near real-time analytics. We find that batching of small files, parallel loading and pipelining of different workloads by overlapping their disk-and-CPU intensive phases can have significant performance benefits. Optimizations were performed in the light of these findings. Our web-based interface helps users explore progress and performance of their workloads.
Date of Conference: 18-20 April 2012
Date Added to IEEE Xplore: 28 May 2012
ISBN Information:
Print ISSN: 2165-0608
Conference Location: Mugla, Turkey

References

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