Important Dates
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
Scope and Topics
ValueTools 2024 solicits original papers that propose new methodologies and tools for the performance evaluation and optimization of complex systems. It brings together researchers from different communities including Computer Science, Networks and Telecommunications, Operations Research, Optimization, Control Theory and Manufacturing.
ValueTools 2024 welcomes regular submission papers describing novel results, as well as short papers on vision work, work-in-progress, and tools.
- Stochastic processes and models
- Queueing models and networks
- Discrete event simulation
- Game theory
- Machine learning and data analytics
- Federated processing
- Optimization and control theory
- Process algebras
- Markov decision processes
- Model checking, process algebras
- Complex networks
- Stochastic geometry
- Machine learning and artificial intelligence systems
- Data centers, distributed and cloud computing systems
- Edge and fog computing systems
- Telecommunication and computer networks
- Wireless networks
- Smart grids
- Social networks
- Manufacturing systems and supply chains
- Biological, economic, transportation, and healthcare systems
Publication
All accepted papers will be submitted for publication in the Springer LNICST series and made available through the SpringerLink Digital Library (indexed by Scopus, ACM Digital Library, dblp, Google Scholar).
Workshops
- Development of digital twins focused on decision-makers
- Industry 5.0 and Sports Science
- Workshop Chair: Carlos Martner
Paper Submission
ValueTools 2024 accepts submissions in four categories:
- Regular research papers, up to 14 pages in length (excluding references).
- Work-in-progress papers on early results, up to 7 pages in length (excluding references).
- Tools experience papers describing tools for performance evaluation of complex systems, up to 7 pages in length (excluding references).
- Vision papers on new, disruptive ideas (supported, if possible, by empirical evidence and measurements) that differ from prior published work, up to 7 pages in length (excluding references).
All submitted papers must be unpublished and not be submitted for publication elsewhere.
