Invasive computing for predictable stream processing: A simulation-based case study
Author(s): Roloff S, Wildermann S, Hannig F, Teich J
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2015
Event: 13th IEEE Symposium on Embedded Systems for Real-Time Multimedia, ESTIMedia 2015
Event location: Amsterdam
Start date of the event: 08/10/2015
End date of the event: 09/10/2015
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.
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APA: Roloff, S., Wildermann, S., Hannig, F., & Teich, J. (2015). Invasive computing for predictable stream processing: A simulation-based case study. Institute of Electrical and Electronics Engineers Inc..
MLA: Roloff, Sascha, et al. "Invasive computing for predictable stream processing: A simulation-based case study." Proceedings of the 13th IEEE Symposium on Embedded Systems for Real-Time Multimedia, ESTIMedia 2015, Amsterdam Institute of Electrical and Electronics Engineers Inc., 2015.