NDLI: Quantitative Characterization of Event Streams in Analysis of Hard Real-Time Applications

Content Provider	Springer Nature Link
Author	Wandeler, Ernesto Maxiaguine, Alexander Thiele, Lothar
Copyright Year	2005
Abstract	Many real-time embedded systems process event streams that are composed of a finite number of different event types. Each different event type on the stream would typically impose a different workload to the system, and thus the knowledge of possible correlations and dependencies between the different event types could be exploited to get tighter analytic performance bounds of the complete system. We propose an abstract stream model to characterize such an event stream. The model captures the needed information of all possible traces of a class of event streams. Hence, it can be used to obtain hard bounded worst-case and best-case analysis results of a system. We show how the proposed abstract stream model can be obtained from a concrete stream specification, and how it can be used for performance analysis. The applicability of our approach and its advantages over traditional worst-case performance analysis are shown in a case study of a multimedia application.
Starting Page	205
Ending Page	225
Page Count	21
File Format	PDF
ISSN	09226443
Journal	Real-Time Systems
Volume Number	29
Issue Number	2-3
e-ISSN	15731383
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	performance analysis real-time calculus network calculus end-to-end delay analysis real-time multimedia analysis Performance and Reliability Processor Architectures Special Purpose and Application-Based Systems System Performance and Evaluation Communications Engineering, Networks Control Engineering
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Networks and Communications Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications Modeling and Simulation

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