Scaling Out the Performance of Service Monitoring Applications with BlockMon

  • Davide Simoncelli
  • Maurizio Dusi
  • Francesco Gringoli
  • Saverio Niccolini
Conference paper

DOI: 10.1007/978-3-642-36516-4_26

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7799)
Cite this paper as:
Simoncelli D., Dusi M., Gringoli F., Niccolini S. (2013) Scaling Out the Performance of Service Monitoring Applications with BlockMon. In: Roughan M., Chang R. (eds) Passive and Active Measurement. PAM 2013. Lecture Notes in Computer Science, vol 7799. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Davide Simoncelli
    • 1
  • Maurizio Dusi
    • 2
  • Francesco Gringoli
    • 1
  • Saverio Niccolini
    • 2
  1. 1.University of Brescia – CNITBresciaItaly
  2. 2.NEC Laboratories EuropeHeidelbergGermany

Personalised recommendations