Advertisement
Published in:
2012 | OriginalPaper | Chapter
Quantitative Models for a Not So Dumb Grid
Author : Holger Hermanns
Published in: Tools and Algorithms for the Construction and Analysis of Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
How to dimension buffer sizes in a network on chip? What availability can be expected for the Gallileo satellite navigation system? Is it a good idea to ride a bike with a wireless brake? Can photovoltaic overproduction blow out the European electric power grid? Maybe. Maybe not. Probably? The era of poweraware, wireless and distributed systems of systems asks for strong quantitative answers to such questions.
Stochastic model checking techniques have been developed to attack these challenges [2]. They merge two well-established strands of informatics research and practice: verification of concurrent systems and performance evaluation. We review the main achievements of this research strand by painting the landscape of behavioural models for probability, time, and cost, discussing important aspects of compositional modelling and model checking techniques. Different real-life cases show how these techniques are applied in practice.