Ethernet Network Bandwidth And Traffic Density Management: Knowledge Management Concept

Ikpeze, Onyinye Florence and Apena, Waliu Olalekan (2017) Ethernet Network Bandwidth And Traffic Density Management: Knowledge Management Concept. Journal of Multidisciplinary Engineering Science Studies (JMESS), 3 (7). pp. 1-8. ISSN 2458-925X

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Abstract

Knowledge Management (KM) is a vital factor to address issues intersected with process, people and technology. The study necessitates employing KM practices to address network bandwidth abuse and congestion. The paper analyze traffic managers (Bandwidth Meter - BWM and Website Zapper) in the conceptual view of KM using Electronic Library, College of Engineering, Afe Babalola University, Ado-Ekiti, Nigeria as a case study. This was achieved through use of existing network with 32 Local Area Networked (LAN) systems and software traffic managers to reveal knowledge sharing due to data traffic. BWMeter was deployed to determine the maximum limit (per hour) of traffic accommodated before congestion. The network was monitored at capacity of 600MB to trigger end user’s alert and reduces data speed limit to 2.5KBS, so that the internet can be surfed with ease and with a reasonable response time. Website Zapper was also installed on the LAN systems to block web access to sites that are non educative and which occupies and floods the bandwidth of the network such as pornographic sites, gambling site and online movie sites. The study adopted knowledge management concept to establish knowledge sharing (data traffic) in the College of Engineering, Afe Babalola University, Ado-Ekiti, Nigeria.

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