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MaSPECS 2021 : Modeling and Simulation for Performance Evaluation of Computer-based Systems

online
Event Date: Jun 09, 2021 - Jun 11, 2021
Submission Deadline: Feb 15, 2021
Notification of Acceptance: Mar 22, 2021
Camera Ready Version Due : Apr 16, 2021

About

The aim of Modeling and Simulation for Performance Evaluation of Computer-based Systems (MaSPECS) is to continue the mission of its ancestor High Performance Modeling and Simulation (HiPMoS) and present innovative academic and industrial research, methods, and techniques related to all aspects of modeling and simulation that employ high-performance computing technologies or about high performance systems. Contribution can range from concepts and theoretical developments to advanced technologies and innovative applications.

Call For Paper

Topics of interest include but are not limited to the following:
- Modelling, simulation, analysis and (generalized) performance evaluation of Large and very large scale distributed and parallel computing systems, Complex computer based systems, Cyberphysical systems, Mobile systems, Real time systems, Dependable systems,
Critical systems, Hybrid systems, Information and Telecommunication systems, High performance networks, Intelligent networks, Industrial systems, Big Data applications;
- Queueing systems, stochastic Petri nets, stochastic process algebras, Markov chains, non-Markovian models, fluid models, network calculus;
- Quantitative evaluation techniques related to Performance, Dependability, Security, Survivability, Safety, Real time constraints, Cost, Energy-efficiency and combined aspects like performance-security tradeoffs;
- Statistical methods for the analysis of information systems;
- Theory of Multiformalism and Multiparadigm modeling and applications to Distributed systems, Complex computer based systems, Critical systems, Hybrid systems, Cyberphysical systems;
- Advances and advanced applications in Cloud, Grid and Data Intensive Computing and Data Mining, Social Networks, Security Awareness and Energy Effectiveness in Distributed Data and Information Management, Parallel and Distributed Meta- and Hyper-Heuristics, e-Health large scale systems, Large parallel and distributed multi-agent systems, Intelligent scheduling, Resource allocation and management in P2P, Grid, Cluster, Cloud, Edge computing and Big Data oriented systems, Biologically inspired modeling and simulation;
- Data Science applications to WSN, Computer based systems, Critical systems, Large scale computer based infrastructures, Large scale control and supervision systems.

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