PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Basile D., Di Giandomenico F., Gnesi S. Tuning energy consumption strategies in the railway domain: a model-based approach. In: ISoLA 2016 - Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications. 7th International Symposium (Corfu, Greece, 10-14 October 2016). Proceedings, vol. II pp. 315 - 330. Tiziana Margaria, Bernhard Steffen (eds.). (Lecture Notes in Computer Science, vol. 9953). Springer International Publishing, 2016.
 
 
Abstract
(English)
Cautious usage of energy resources is gaining great attention nowadays, both from environmental and economical point of view. Therefore, studies devoted to analyze and predict energy consumption in a variety of application sectors are becoming increasingly important, especially in combination with other non-functional properties, such as reliability, safety and availability. This paper focuses on energy consumption strategies in the railway sector, addressing in particular rail road switches through which trains are guided from one track to another. Given the criticality of their task, the temperature of these devices needs to be kept above certain levels to assure their correct functioning. By applying a stochastic model-based approach, we analyse a family of energy consumption strategies based on thresholds to trigger the activation/deactivation of energy supply. The goal is to offer an assessment framework through which appropriate tuning of threshold-based energy supply solutions can be achieved, so to select the most appropriate one, resulting in a good compromise between energy consumption and reliability level.
URL: http://link.springer.com/chapter/10.1007%2F978-3-319-47169-3_23
DOI: http://dx.doi.org/10.1007/978-3-319-47169-3_23
Subject Model-based analysis
Green IT
Dependable Computing
C.4 PERFORMANCE OF SYSTEMS
I.6 SIMULATION AND MODELING
C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS


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