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
Link To Document :
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