Study on Advanced Visualization Tools In Network Monitoring Platform

Wong, Doris Hooi-Ten; Manickam, Selvakumar; Ramadass, Sureswaran; Bazar, Hussein Al

doi:10.1109/ems.2009.24

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…Data is transferred by Transferor from the intermediate database to the analysis and intelligence module for further processing and analysing. With this methodology which divides capturing and transferring activities into two different agents, we believe the system congested can be avoided and also will be additionally efficiency [6].…”

Section: A Data Procurement Modulementioning

confidence: 99%

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Case Study: Visualization Methodology for Analysing Network Data

Wong

Ramadass

2010

2010 12th International Conference on Computer Modelling and Simulation

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Existing monitoring methods have been used for network traffic and network malicious such as using a network monitoring system or network intrusion system. These systems mainly focus to capture traffic and anomaly data. After the capturing process, the data is visualized without doing any analysis on these captured network data. Besides, there are a number of tools with visualization techniques (e.g. Scatterplot, bar graph) that can be applied in the network monitoring system. The one-dimensional (1D), two-dimensional (2D), three-dimensional (3D) and high multidimensional data can be presented by using relevant visualization techniques. Most of the visualization techniques exist in generating the captured network data into informative graphical 2D or 3D view. However, there are no tools or systems that are able to identify as well as analyses the types of given network data and presents it into the robust and meaningful illustration based on user requirements. This paper explored a new algorithm that would be used to solve the constraints which have been mentioned above. We also presented how the algorithm can facilitate the current visualization methodology. By the end of this, our proposed methodology should be able to analyse different types of network data automatically and effectively. Keywords-network traffic, network malicious, information visualization, automated visualization methodology, visualization technique.I.

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Section: A Data Procurement Modulementioning

confidence: 99%

“…The integration between the comprehensive data and multimedia elements can produce an intuitive result to the network administrator. [6]. …”

Section: Data Visualization Modulementioning

confidence: 99%

Case Study: Visualization Methodology for Analysing Network Data

Wong

Ramadass

2010

2010 12th International Conference on Computer Modelling and Simulation

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“…The term "network monitoring" describes a system that continuously monitor the whole network topology for jamming, slowing down or failing components and notifies the network responsible person via email, sms or other alarms in case of any problem [1]. The network monitoring is usually associated with the functions involved in network management [11].…”

Section: Ideal Network Monitoring Systemmentioning

confidence: 99%

“…An efficient and automatic network monitoring is always required for large organizations like universities, companies and other business sectors where the manual network monitoring is very difficult [1], [2]. Since large organizations have a big network topology, the manual network monitoring causes waste of time to point out problem location [3].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Network Monitoring and Management System

Khan

Zaheer

et al. 2013

IJIEE

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Abstract. Large organizations always require fast and efficient network monitoring system which reports to the network administrator as soon as a network problem arises. This paper presents an effective and automatic network monitoring system that continuously monitor all the network switches and inform the administrator by email or sms when any of the network switch goes down. This system also point out problem location in the network topology and its effect on the rest of the network. Such network monitoring system uses smart interaction of Request Tracker (RT) and Nagios softwares in linux environment. The network topology is built in Nagios which continuously monitor all of the network nodes based on the services defined for them. Nagios generates a notification as soon as a network node goes down and sends it to the RT software. This notification will generate a ticket in RT database with problematic node information and its effect on the rest of the network. The RT software is configured to send the ticket by email and sms to the network administrator as soon as it is created. If the administrator is busy at the moment and does not resolve the ticket within an hour, the same ticket is automatically sent to the second network responsible person depending upon the priority defined. Thus, all persons in the priority list are informed one by one until the ticket is resolved.

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