Title :
Traffic analysis using Hadoop Cloud
Author :
Aishwarya, K. ; Sankar, Sharmila
Author_Institution :
Comput. Sci. & Eng., B.S. Abdur Rahman Univ., Chennai, India
Abstract :
With the continuous increase in the number of devices and users using the Internet, the data in the network is growing tremendously. It has become essential to manage the traffic efficiently by proper analysis of the network flow. The collected traffic flow records are provided to Hadoop Cloud which pre-processes the records and provides the refined and reduced dataset as output. This refined data is analyzed using R to determine the patterns in the network which can be used to plan out the traffic flow and also to know the user behavior. This behavior will help us to determine any abnormal activity, or intrusion risks. The traffic records of different size are taken and analyzed in 2 ways. One type involves the analyzing done directly by R and the other involves both Hadoop and R. Finally, a comparison is carried out between the two types based on the execution time and are tabulated.
Keywords :
Internet; cloud computing; data handling; parallel processing; telecommunication traffic; Hadoop Cloud; network flow analysis; traffic analysis; Bidirectional control; Conferences; IP networks; Internet; Monitoring; Technological innovation; Cloud; Hadoop; Network; R; Traffic;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7192872