MARTE profile extension for modeling dynamic power management of embedded systems
The profile for Modeling and Analysis of Real-time and Embedded systems (MARTE) is a standard UML profile promoted by the Object Management Group (OMG). MARTE defines a framework for annotating non-functional properties of embedded systems to UML models as well as a generic package for modeling powe...
Saved in:
Published in | Journal of systems architecture Vol. 58; no. 5; pp. 209 - 219 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
01.04.2012
Elsevier Sequoia S.A |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The profile for Modeling and Analysis of Real-time and Embedded systems (MARTE) is a standard UML profile promoted by the Object Management Group (OMG). MARTE defines a framework for annotating non-functional properties of embedded systems to UML models as well as a generic package for modeling power consumption and heat dissipation of HW components. However, for modeling and analysing systems that adopt complex dynamic power management (DPM) policies and techniques additional expression power is needed. This article presents a way of modeling system-wide dynamic power management aspects of embedded systems with a UML2 profile extension. The proposed profile is compatible with the MARTE profile and can be used as its extension. The main idea of our proposal is that each HW component is associated with a state machine description that defines its time-variant power characteristics. Based on these, the system-wide power configurations are identified and modeled. Finally, application use cases or operational modes are bound to execute on certain power configurations. The models can be analysed to estimate the total energy dissipation. The MARTE and proposed DPM profile are used to model two case study platforms with different kind of DPM strategies. |
---|---|
Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1383-7621 1873-6165 |
DOI: | 10.1016/j.sysarc.2011.01.003 |