Scope and Topics
ValueTools 2023 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 2023 welcomes regular submission papers describing novel results, as well as short papers on vision work, work-in-progress, and tools.
Scientific areas of interest include, but not limited to, the following fields:
- 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
All accepted papers will be published in the Springer LNICST series and made available through the SpringerLink Digital Library (indexed by Scopus, ACM Digital Library, dblp, Google Scholar).
Fast-tracking of Journal Extensions
The conference best papers will be considered for a submission of extended versions to the Elsevier Performance Evaluation journal.
ValueTools 2023 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All submitted papers must be unpublished and not be submitted for publication elsewhere. Papers should be formatted using Springer’s LaTeX template and submitted through EasyChair. ValueTools 2023 supports a single-blind review process where authors’ names are included in paper submissions.