CFP
ASMTA 2024: International Conference on Analytical & Stochastic Modelling Techniques & Applications Venice, Italy, June 14, 2024 |
Conference website | https://asmta.eu/ |
Submission link | https://easychair.org/conferences/?conf=asmta2024 |
Submission deadline | April 2, 2024 |
ASMTA 2024 ========== 28th International Conference on Analytical & Stochastic Modelling Techniques & Applications 14th of June, 2024, Venice, Italy https://asmta.eu/ Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The ASMTA conference is a main forum for advancing these techniques and their applications and aims to bring together researchers of academia and industry to discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems. This year, the conference will be held as a workshop within ACM SIGMETRICS / IFIP Performance 2024, https://www.sigmetrics.org/sigmetrics2024. Important Dates --------------- - Paper submission deadline: April 2, 2024 - Notification of acceptance: May 6, 2024 Organisation ------------ - General Chair: Sabina Rossi - TPC Chairs: Arnaud Devos, Andras Horvath Scope and Topics ---------------- ASMTA 2024 seeks both methodological papers that propose novel analytical and numerical solution techniques for stochastic systems, as well as application-oriented papers that apply stochastic modelling techniques to practical performance problems. Submissions will be on EasyChair. The proceedings of ASMTA 2024 will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Topics of interest: 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 - Rare Events and Stochastic Simulation - Approximations, Bounds and Limits of Stochastic Models - Reinforcement Learning Techniques for Dynamic Resource Allocation - Fluid and Diffusion Limits - 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 - Workload Modelling and Characterization - Road Traffic and Transportation - Social Networks - Modeling 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