A Resource-Aware Framework for Designing Predictable Component-Based Embedded Systems
2012 (English)Doctoral thesis, monograph (Other academic)
Managing complexity is an increasing challenge in the development of embedded systems (ES). Some of the factors contributing to the increase in complexity are the growing complexity of hardware and software, and the increased pressure to deliver full-featured products with reduced time-to-market. An attractive approach to manage the software complexity, reduce time-to-market and decrease development costs lies in the adoption of component-based development that has been proven as a successful approach in other domains. Another raising challenge, due to complexity increase, in ES, is predictability, i.e., the ability to anticipate the behavior of a system at run-time. The particular predictability requirements of ES call for a development framework equipped with techniques and tools that can be applied to deal with requirements, such as timing, and resource utilization, already at early-stage of development. Modeling and formal analysis play increasingly important roles in achieving predictability, since they can help us to understand how systems function, validate the design and verify some important properties.
In this thesis, we present a resource-aware framework for designing predictable component-based ES. The proposed framework consists of (i) the formally specified ProCom component model that takes into account the characteristics of control-intensive ES, and (ii) the resource-aware timed behavioral language - REMES for modeling and reasoning about components’ and systems’ functional and extra-functional behavior that includes relevant resource types for ES, associated analysis techniques for various resource-wise properties, and a set of associated tools. To demonstrate the potential application of our framework, we present a number of case studies, out of which one is an industrial research prototype, where ProCom and REMES are applied.
Place, publisher, year, edition, pages
Västerås: Mälardalen University , 2012.
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 122
component-based development, formal analysis, embedded systems, resource prediction, behavioral modeling, architectural modeling, tools, resource-aware framework
Research subject Computer Science
IdentifiersURN: urn:nbn:se:mdh:diva-14558ISBN: 978-91-7485-068-0OAI: oai:DiVA.org:mdh-14558DiVA: diva2:524736
2012-06-15, Kappa, Mälardalen University, Västerås, 14:00 (English)
Di Nitto, Elisabetta, Professor
Crnkovic, Ivica, professorPettersson, Paul, professorSeceleanu, Cristina, Senior Lecturer