• DocumentCode
    562618
  • Title

    Mitigating the traffic in a cloud using clustering

  • Author

    Saranya, A. ; Saravanan, M. ; Kumar, K. Pradeep Mohan

  • Author_Institution
    Master of Eng. (CSE), Periyar Maniammai Univ. (PMU), Thanjavur, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    Internet traffic measurement and analysis have been usually performed on a high performance server that collects and examines packet or flow traces. However, when we monitor a large volume of traffic data for detailed statistics, a long- period or a large-scale network, it is not easy to handle Tera or Peta-byte traffic data with a single server. Thus, in this paper, we propose separate server for each type of services.The request for similar type of services are grouped by clustering and directing them to available server using routing master, we reduce the traffic and also increase response time of the server.
  • Keywords
    client-server systems; cloud computing; pattern clustering; statistical analysis; telecommunication network routing; telecommunication traffic; Internet traffic analysis; Internet traffic measurement; cloud traffic mitigation; clustering; flow trace; large-scale network; long- period network; packet trace; routing master; server response time; statistics; traffic data monitoring; traffic reduction; Artificial neural networks; Monitoring; Routing; Software; FlowScan; Routing Master; cloud computing; traffic monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
  • Conference_Location
    Nagapattinam, Tamil Nadu
  • Print_ISBN
    978-1-4673-0213-5
  • Type

    conf

  • Filename
    6215602