Muhammad Ahsan Asim MCS-2008:11, pp. 31. TEK/avd. för interaktion och systemdesign, 2008.
This report covers one of the most demanding issues of network users i.e. network testing.
Network testing in this study is about performance evaluation of networks, by putting traffic
load gradually to determine the queuing delay for different traffics. Testing of such
operations is becoming complex and necessary due to use of real time applications such as
voice and video traffic, parallel to elastic data of ordinary applications over WAN links.
Huge size elastic data occupies almost 80% resources and causes delay for time sensitive
traffic. Performance parameters like service outage, delay, packet loss and jitter are tested to
assure the reliability factor of provided Quality of Service (QoS) in the Service Level
Normally these network services are tested after deployment of physical networks. In this
case most of the time customers have to experience unavailability (outage) of network
services due to increased levels of load and stress. According to user-centric point of view
these outages are violation and must be avoided by the net-centric end.
In order to meet these challenges network SLAs are tested on simulators in lab environment.
This study provides a solution for this problem in a form of testbed simulator named
Combinatorial TestBed Simulator (CTBS). Prototype of this simulator is developed for
conducting experiment. It provides a systematic approach of combinatorial structures for
finding such traffic patterns that exceeds the limit of queuing delay, committed in SLAs.
Combinatorics is a branch of mathematics that deals with discrete and normally finite
elements. In the design of CTBS, technique of combinatorics is used to generate a variety of
test data that cannot be generated manually for testing the given network scenario. To
validate the design of CTBS, results obtained by pilot runs are compared with the results
calculated using timeline. After validation of CTBS design, actual experiment is conducted
to determine the set of traffic patterns that exceeds the threshold value of queuing delay for
Voice over Internet Protocol (VOIP) traffic.
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