Online Traffic Measurement and Analysis in Big Data: Comparative Research Review

Abstract

Abstract:The Internet traffic measurement and analysis is important to avoid many problems of data transferring via online networks such as data losing and slow data transferring. The Internet traffic measuring and analysis could be effective to avoid the data transferring challenges. The Internet traffic measuring and analysis flexibility is important due to many reasons such as dynamicity of transferred data such as size and format, the data transferring protocols and the dynamicity of measure the traffic based on the networks available resources depend on the transferred data characteristics. The main objective of this paper is to review the most flexible Internet traffic measuring and analysis tools that could be adopted to handle the dynamicity of data transferring characteristics.

Analysis of How Scalable Features in Hadoop / MapReduce by Internet Traffic Management

“…Third, it can handle traffic measurement and analysis as a single packet. And finally, it can update traffic measurement functions such as (scaling network usage levels and providing different data segments) [4].…”

“…The section lists the diagram from seven-famed Internet movement estimation with examination devices in interpreting focuses and develop the plan of these tools used. As delineated in figure 3, the main traffic measurement and analysis tools are the following: Hadoop /Map Reduce, Tcpdump, Coral Reef, Snort, Tstat, Net Flow, and L7 Filter [4], [15]. 1) Hadoop/MapReduce: It is a software framework that is commonly utilized for a simple and easy application like writing.…”