Scaling out the performance of service monitoring applications with blockmon

Authors:
Davide Simoncelli;Maurizio Dusi;Francesco Gringoli;Saverio Niccolini
Affiliations:
University of Brescia --- CNIT, Brescia, Italy;NEC Laboratories Europe, Heidelberg, Germany;University of Brescia --- CNIT, Brescia, Italy;NEC Laboratories Europe, Heidelberg, Germany
Venue:
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
Year:
2013

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Abstract

To cope with real-time data analysis as the amount of data being exchanged over the network increases, an idea is to re-design algorithms originally implemented on the monitoring probe to work in a distributed manner over a stream-processing platform. In this paper we show preliminary performance analysis of a Twitter trending algorithm when running over BlockMon, an open-source monitoring platform which we extended to run distributed data-analytics algorithms: we show that it performs up to 23.5x and 34.2x faster on BlockMon than on Storm and Apache S4 respectively, two emerging stream-processing platforms.