JSW 2015 Vol.10(8): 1021-1029 ISSN: 1796-217X
doi: 10.17706/jsw.10.8.1021-1029
doi: 10.17706/jsw.10.8.1021-1029
Advanced Ethernet Networks’ Diagnozer
Hela Lajmi1,2*, Adel M. Alimi1, Joseba M. Rodriguez2
1REGIM-Lab: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, BP 1173, Sfax, 3038, Tunisia.
2Technica Engineering Co., Olschewskibogen, München, Germany.
Abstract—In this paper, we present the design, implementation and experimental evaluation of an advanced network analyzer called CableFish. Indeed, the system functions are accomplished on an only one off-the-shelf and cost-effective computer (centralized processing), and permits online and offline analysis. Almost current challenges, such as flexibility, performance (resource usage) and optimization are taken into consideration. The experimental evaluation of CableFish system was performed through a comparison to WireShark, the most popular network traffic analyzer, and Carmen, the network traffic analyzer used by BMW.
Index Terms—Software architecture, network diagnose, traffic analysis systems.
2Technica Engineering Co., Olschewskibogen, München, Germany.
Abstract—In this paper, we present the design, implementation and experimental evaluation of an advanced network analyzer called CableFish. Indeed, the system functions are accomplished on an only one off-the-shelf and cost-effective computer (centralized processing), and permits online and offline analysis. Almost current challenges, such as flexibility, performance (resource usage) and optimization are taken into consideration. The experimental evaluation of CableFish system was performed through a comparison to WireShark, the most popular network traffic analyzer, and Carmen, the network traffic analyzer used by BMW.
Index Terms—Software architecture, network diagnose, traffic analysis systems.
Cite: Hela Lajmi, Adel M. Alimi, Joseba M. Rodriguez, "Advanced Ethernet Networks’ Diagnozer," Journal of Software vol. 10, no. 8, pp. 1021-1029, 2015.
PREVIOUS PAPER
Querying Bibliography Data Based on Linked Data
NEXT PAPER
Efficient Migration to Windows
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
-
Mar 01, 2024 News!
Vol 19, No 1 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Nov 02, 2023 News!
Vol 18, No 4 has been published with online version [Click]