National Conference on Advancements in Computer & Information Technology |
Foundation of Computer Science USA |
NCACIT2016 - Number 3 |
May 2016 |
Authors: Amol S. Suryawanshi, S.v. Bodake |
2beea8de-577b-45af-b997-da0ed7591aec |
Amol S. Suryawanshi, S.v. Bodake . Network Traffic Measurements and Analysis using Hadoop. National Conference on Advancements in Computer & Information Technology. NCACIT2016, 3 (May 2016), 21-25.
Accurate network traffic capture & measurements, analysis and monitoring is key to a wide range of network applications such as computer network traffic engineering, error detection & correction and all kind of security analysis with maintaince. A number of critical network management decisions, such as identifying faulty nodes & servers, routers, blocking traffic to a victim destination, monitoring traffic require extraction and analysis of real time data patterns in network traffic. The large traffic volumes seen in today's high-speed networks pose tremendous computational and storage requirements for accurate traffic measurements & analysis. We are going to actualizing Hadoop based system which collect traffic data, perform Traffic Analysis, Measurement, and Classification with deference to different parameters at parcel level. These outcomes can be utilized by Network Administrator and ISP's to identify abnormalities in system to achieve efficiency.