Mitigating the traffic in a cloud using clustering

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...

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Bibliographic Details
Main Authors: Saranya, A., Saravanan, M., Kumar, K. P. M.
Format: Conference Proceeding
Language:English
Subjects:
Artificial neural networks
cloud computing
FlowScan
Monitoring
Routing
Routing Master
Software
traffic monitoring
Online Access:Request full text
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Summary: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.