Important Dates
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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:
Methodological advances
– 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
Application areas
– 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 published in the Springer LNICST series and made available through the SpringerLink Digital Library (indexed by Scopus, ACM Digital Library, dblp, Google Scholar).
Placeholder text, this changes based on CM and infromation where the conference will be published
Fast-tracking of Journal Extensions
The conference best papers will be considered for a submission of extended versions to the Elsevier Performance Evaluation journal.
Paper Submission
– 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All submitted papers must be unpublished and not be submitted for publication elsewhere.
Author’s kit – Instructions and Templates (SPRINGER)
Papers must be formatted using the Springer LNICST Authors’ Kit.
Instructions and templates are available from Springer’s LNICST homepage:
Please make sure that your paper adheres to the format as specified in the instructions and templates.
When uploading the camera-ready copy of your paper, please be sure to upload both:
- a PDF copy of your paper formatted according to the above templates, and
- an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines.
