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. The significance results show that the Hadoop/MapReduce tool has many advantages over other traffic measuring and analysis tools. The Hadoop/MapReduce features are easy to be modified based on various selections of Internet traffic measuring, the Hadoop/MapReduce is compatible with various format of data transferring such as texts, videos and images and the Hadoop/MapReduce can analyze the better ways of data transferring depend on many transferring protocols such as Transmission Control Protocol (TCP) and User Datagram Protocol (UDP).
Highlights
Network monitoring and measurement have gained greater importance in modern day complicated network
Operating Systems: Tools are compatible with all operating systems that are the Hadoop/MapReduce Snort, Pandora FSM, Network Monitor and Angry Internet Protocol (IP) scanner tools whereas the other tools are suited to UNIX and Linux operating systems rather than Windows
Performance of traffic measurement: The tools such as Hadoop/MapReduce, Snort, CoralReef, tcpdump, Pandora FSM, Network Monitor, Angry IP scanner and Tstat can manage the traffic measurement processes whereas the NetFlow and L7filter tools cannot be effective for computation of the traffic measurement
Summary
Network monitoring and measurement have gained greater importance in modern day complicated network. Network administrator monitor only a limited number of network devices or computers whose number range less than a hundred (John, 2008). Network bandwidth during those days was only at 10 or 100 Megabit per second; the current online network bandwidth is higher as it is used to gather large volumes of data and information amongst people (Parekh and Patel, 2015) and the efficient functioning of the network of spam interventions depends on the routing protocol (John, 2008). To handle and perform network monitoring and analysis, different types of method can be applied such as Hadoop/MapReduce and network flow monitoring and analysis tools (Hasib and Schormans, 2003)
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