MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
A Visualization and Analysis Tool for NS-2 Wireless Simulations: iNSpect
MASCOTS '05 Proceedings of the 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
A tool for packaging and exchanging simulation results
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
An integrated framework for enabling effective data collection and statistical analysis with ns-2
WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
WNS2 '06 Proceeding from the 2006 workshop on ns-2: the IP network simulator
Enhancing the Credibility of Wireless Network Simulations with Experiment Automation
WIMOB '08 Proceedings of the 2008 IEEE International Conference on Wireless & Mobile Computing, Networking & Communication
On the automation of computer network simulators
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
On credibility of simulation studies of telecommunication networks
IEEE Communications Magazine
A 2k · r factorial analysis tool for ns2measure
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
An experiment automation framework for ns-3
Proceedings of the 3rd International ICST Conference on Simulation Tools and Techniques
Combining SPIN with ns-2 for protocol Optimization
SPIN'10 Proceedings of the 17th international SPIN conference on Model checking software
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Stochastic simulation is an important aid for the design and performance engineering of computer networks. The credibility of simulative results can, however, be seriously affected by human errors (e.g., inconsistencies in the parameter selection, poor initialization of random generators, bugs in the scripts used for post-processing), which become more and more likely and numerous as the dimension of the set of simulated scenarios (simulation campaign) increases. The occurrence of such errors can be limited by using reliable automation tools, i.e. tools which take care of the above mentioned tasks by using state-of-the-art methodologies. This work describes ANSWER (Automated NS-2 Workflow managER), a simulation workflow automation tool for the Network Simulator (ns-2), explicitly designed for facilitating large-scale simulation campaigns, i.e. those involving many factors. Our framework reduces the space for errors when defining scenarios, controls the execution of a large number of scenarios, and reduces the time overhead required for output data analysis.