Title :
Invasive computing for predictable stream processing: a simulation-based case study
Author :
Sascha Roloff;Stefan Wildermann;Frank Hannig;Jurgen Teich
Author_Institution :
Hardware/Software Co-Design, Department of Computer Science Friedrich-Alexander University Erlangen-Nurnberg (FAU), Germany
fDate :
10/1/2015 12:00:00 AM
Abstract :
Heterogeneous many-core systems enable the integration of more and more applications into a single system. Executing multiple applications in the same system inevitably leads to resource sharing, e.g., when accessing on-chip communication and memory. This poses a challenge when applications are expected to guarantee user requirements regarding timing, reliability, security, etc. In this paper, we review a design methodology that (a) allows an application designer to model a stream processing application and user requirements, and then (b) automatically generates a set of resource requirements that guarantee the fulfillment of these user requirements. Techniques from the Invasive Computing paradigm enable the program-driven dynamic reservation of resources according to these generated resource requirements.We demonstrate that this provides means for predictable execution of stream processing applications by evaluating a simulation-based case study.
Keywords :
"Throughput","Computer architecture","Object detection","Jitter","Design methodology","Prediction algorithms","Timing"
Conference_Titel :
Embedded Systems For Real-time Multimedia (ESTIMedia), 2015 13th IEEE Symposium on
DOI :
10.1109/ESTIMedia.2015.7351761