Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Performance Evaluation of UML2-Modeled Embedded Streaming Applications with System-Level Simulation | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2009 Article ID 826296 16 pages doi 2009 826296 Research Article Performance Evaluation of UML2-Modeled Embedded Streaming Applications with System-Level Simulation Tero Arpinen Erno Salminen Timo D. Hamalainen and Marko Hannikainen Department of Computer Systems Tampere University of Technology . Box 553 33101 Tampere Finland Correspondence should be addressed to Tero Arpinen Received 27 February 2009 Accepted 21 July 2009 Recommended by Bertrand Granado This article presents an efficient method to capture abstract performance model of streaming data real-time embedded systems RTESs . Unified Modeling Language version 2 UML2 is used for the performance modeling and as a front-end for a tool framework that enables simulation-based performance evaluation and design-space exploration. The adopted application metamodel in UML resembles the Kahn Process Network KPN model and it is targeted at simulation-based performance evaluation. The application workload modeling is done using UML2 activity diagrams and platform is described with structural UML2 diagrams and model elements. These concepts are defined using a subset of the profile for Modeling and Analysis of Realtime and Embedded MARTE systems from OMG and custom stereotype extensions. The goal of the performance modeling and simulation is to achieve early estimates on task response times processing element memory and on-chip network utilizations among other information that is used for design-space exploration. As a case study a video codec application on multiple processors is modeled evaluated and explored. In comparison to related work this is the first proposal that defines transformation between UML activity diagrams and streaming data application workload meta models and successfully adopts it for RTES performance evaluation. Copyright 2009 Tero Arpinen et al. This is an open access article distributed .
