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► Edge service placement: Constraint-based model for Service Placement Problem in Fog Computing.

• Repository: Source code implemented in Choco solver.
• [Ref]. F. Ait Salaht, F. Desprez, A. Lebre, C. Prud'homme and M. Abderrahim, "Service Placement in Fog Computing Using Constraint Programming," 2019 IEEE International Conference on Services Computing (SCC), Milan, Italy, 2019, pp. 19-27, doi: 10.1109/SCC.2019.00017.

• Elaborated archives:
• "Fog/Edge management: A survey of source codes"
• "Benchmark of IoT Applications for service placement at the Fog-Edge Computing networks".

► StBound Tool: Approach combining stochastic bounds and histograms for performance analysis of queue

I developed during my Ph.D a tool to compute bounding distributions and analyze a single queue under histogram-based traffic by applying stochastic comparison.

The StBound archive is composed by two applications "BHa" and "ASingle_Queue" implemented with Matlab 2012a. These two applications allow respectively to compute Bounding Histogram from real traffic trace and compute performance measures of single queue under histogram input traffic.

You can download the tool below.

• Under windows environment
• Download the StBound.zip
• See the tutorial
• Under Linux environment (Coming soon)
• Under Mac-OS environment (Coming soon)

► A few tools that may interest you:

• Fog-Edge Computing simulators/frameworks.
• XBorne: a set of C programs to build, store, manipulate, bound and solve Markov chains.
• PSI (acronym of Perfect Simulator): a framework designed to sample trajectories of large Markov chains with various methods.
• MarmoteCore: an open environment for modeling with Markov chains.