A performance Analysis Tool for Scenario-Aware Streaming Applications

B.D. Theelen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism in computation and communication resource requirements of streaming applications that originates from different modes of operation (scenarios). This scenario-aware dataflow model uses a probabilistic approach to express the order in which scenarios (and different execution times within a scenario) occur. This paper discusses a tool for exhaustive and simulation-based analysis of various important performance metrics for scenario-aware streaming applications.
Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Pages269-270
ISBN (Print)978-0-7695-2883-0
DOIs
Publication statusPublished - 2007
Eventconference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19 -
Duration: 17 Sep 200719 Sep 2007

Conference

Conferenceconference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19
Period17/09/0719/09/07
OtherQEST 2007, Edinburgh, UK

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