Methodologies

• Discrete event simulation
• Stochastic models
• Game theory
• Queues and queueing networks
• Mean field techniques
• Software performance engineering
• Model-checking
• Process algebras
• Fluid approximations

Application Areas

• Communication and computer systems
• Distributed systems
• Cloud computing systems
• Cloud and Edge/Fog computing systems
• Machine Learning
• Large-scale performance analysis
• Interdisciplinary problems
• Manufacturing systems & supply chains
• Transportation systems
• Internet of Things

VALUETOOLS 2017 focuses on methodologies and practices in modelling, 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 ValueTools 2017 solicits previously unpublished contributions that propose new performance evaluation methodologies and new tools.

VALUETOOLS 2017 invites the following types of contributions: regular papers (8 pages), tool papers (6 pages), and fast abstracts (2 pages). All types of contributions must be prepared in ACM format.

Regular papers are ideal for presenting new evaluation methodologies and theoretical contributions. Tool papers should describe new tools or substantial improvements to existing tools. Fast abstracts are intended to give an opportunity to present work in progress, experience reports, wild ideas, or controversial opinions intended to promote discussion.

The conference also solicits proposals for 1-hour tutorials. Tutorial descriptions should not exceed 2 pages and must describe the motivation, content, and structure of the tutorial.

Submissions will be reviewed anonymously by expert reviewers and papers will be judged based on originality, correctness, clarity and relevance. Submitted papers must be original work, and must not be under consideration for another conference or journal.

Regular papers, tool papers, and fast abstracts will be submitted to the ACM Digital Library. Top-ranked regular papers will be invited to submit an extended version for a special issue to appear in the Elsevier Performance Evaluation journal.