Performance Monitoring of highly complex Network Systems

B.Sc. Semayat Fikre Handoro

Master's thesis

Abstract:

t Complexity of network systems is increasing and consequently the need to monitor network infrastructure has become crucial as it allows organizations to foresee potential outages and address network issues in a proactive manner to lower down any business impact. Monitoring approaches that are efficient and well suited to monitor a quite simpler network are not as efficient when used in a complex mission critical network. This thesis proposes a design of a monitoring tool (approach) that could be suitable to monitor large scale networks and resolves some of the limitations that may arise by using the protocol-based approach. It Conducted and presented an evaluation made on using a protocol-based approach (SNMPv3) to monitor large scale networks. The evaluation was conducted on a real production network environment from the perspectives of examining the protocol if it intensively uses the resource it monitors and its performance in reporting network events and issues. After observing results of the conducted evaluation and taking related factors like telemetry options that can provide different methods of communication with monitored devices and flexible interfaces where encoding of the monitoring data is performed in a text format using JavaScript object notation Into account, it proposes an architectural design with detailed working logic. The design of the system was carried out using the unified modelling language UML design diagrams. Major processes that are associated with the system to carry and transfer data were shown by using three levels of logical data flow diagrams.

Keywords

SNMP, Network Monitoring, Data telemetry, Netconf, Plug-in Architecture, Real time performance, ICMP-PING

Language used: English

Date on which the thesis was submitted / produced: 31. 3. 2021

Thesis defence

• Supervisor: Ing. Tomáš Vokoun

Czech University of Life Sciences Prague

Faculty of Economics and Management

Master programme / field:
Systems Engineering and Informatics / Informatics