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ASMTA 2024 : International Conference on Analytical & Stochastic Modelling Techniques & Applications


Conference Series : Analytical and Stochastic Modeling Techniques and Applications
When Jun 14, 2024 - Jun 14, 2024
Where Venice, Italy
Submission Deadline Apr 2, 2024
Notification Due May 6, 2024
Categories    analytical   stochastic   modeling   techniques

Call For Papers


28th International Conference on
Analytical & Stochastic Modelling Techniques & Applications
14th of June, 2024, Venice, Italy

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,

Important Dates

- Paper submission deadline: April 2, 2024
- Notification of acceptance: May 6, 2024


- 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

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