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ASMTA 2023: International Conference on Analytical & Stochastic Modelling Techniques & Applications

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ASMTA
Submission Date:
2023-04-18 Extended
Notification Date:
2023-05-08
Conference Date:
2023-06-20
Location:
Florence, Italy
Years:
27
Viewed: 9593   Tracked: 0   Attend: 0

Call For Papers

ASMTA 2023 (International Conference on Analytical & Stochastic Modelling Techniques & Applications) is an academic conference held in Florence, Italy on 2023-06-20. The paper submission deadline is 2023-04-18 (extended). Acceptance notifications are sent on 2023-05-08.

ASMTA and EPEW are flagship conferences for academic and industrial researchers from diverse fields with common interest on the performance modelling, analysis and design of stochastic systems. This year, the two conference join again (and also join, again for ASMTA, with the International ECMS conference on Modelling and Simulation, ECMS 2023), and solicit papers on the development of broadly applicable analytic, simulation and measurement-based methods on all aspects of performance engineering. ASMTA 2023 aims to bring together researchers interested in understanding and improving the performance of systems where the flow of information is random by means of proper modeling and solution methods. It seeks papers to promote research results in the development and analysis of stochastic models arising among others in communication systems, manufacturing, production, service operations, supply chain/inventory management, and biological systems. Its scope includes both methodological and computational advances. In particular, it aims to bring together researchers working on the theoretical, algorithmic and computational aspects of the methods applied in stochastic models, and on the applications of such methods across a broad spectrum of research fields. The conference is particularly interested in contributions that present new performance evaluation methods/algorithms, or that creatively apply existing methods to predict and efficiently design stochastic systems. Topics of interest The topics include but are not limited to the following: Performance-Oriented Methodologies: Markov Processes Queueing Systems and Networks Capacity Planning, Resource Allocation, Routing, Scheduling and Quality of Service Branching Processes and Epidemic Models Game Theory and Stochastic Games Reliability Theory (Computationally Intensive) Statistical Methods Stochastic Control, Decision Processes and Optimization Stochastic Process Algebras and Petri Nets Rare Events and Stochastic Simulation Approximations, Bounds and Limits of Stochastic Models Reinforcement Learning Techniques for Dynamic Resource Allocation Fluid and Diffusion Limits Risk Processes Random Graphs Envisaged Application Areas: Complex Systems Computer and Information Systems Workflow Management Systems Communication Systems and Networks Wireless and Mobile Systems and Networks Peer-to-Peer Applications and Services Embedded Systems and Sensor Networks Storage Systems, Data Centers, Content Delivery, Cloud/Fog/Edge/. . . Computing and Virtualisation Workload Modelling and Characterization Road Traffic and Transportation Social Networks Modelling of Virtualisation Energy-Aware Optimisation Stochastic Modelling for Systems Biology Biologically Inspired Network Design Artificial Intelligence and Machine Learning Platforms Blockchains and Crypto-Currency Network Economics and Platform Designs Matching Systems and Sharing Economy
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