Multi-Constraint multi-processor Resource Allocation

Multi-Constraint multi-processor Resource Allocation

Behrouzian, A.R.B.
Goswami, D.
Basten, T.
Geilen, M.
Ara, H.A.

Carro, L. (editor)
Soudris, D. (editor)

2015

This work proposes a Multi-Constraint Resource Allocation (MuCoRA) method for applications from multiple domains onto multi-processors. In particular, we address a mapping problem for multiple throughput-constrained streaming applications and multiple latency-constrained feedback control applications onto a multi-processor platform running under a Time-Division Multiple-Access (TDMA) policy. The main objective of the proposed method is to reduce resource usage while meeting constraints from both these two domains (i.e., throughput and latency constraints). We show by experiments that the overall resource usage for this mapping problem can be reduced by distributing the allocated resource (i.e., TDMA slots) to the control applications over the TDMA wheel instead of allocating consecutive slots. cop. 2015 IEEE.

ICT
ESI - Embedded Systems Innovations
TS - Technical Sciences
Electronics
Industrial Innovation
Resource allocation
Multi-processors
Throughput constraints
Latency constraints
Control applications
Atreaming applications
Synchronous dataflow

http://resolver.tudelft.nl/uuid:eeec04af-571b-4f46-abe8-cabb78dcf721

https://doi.org/10.1109/samos.2015.7363695

535107

Institute of Electrical and Electronics Engineers Inc.

9781467373111

15th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2015, 20 July 2015 through 23 July 2015, 338-346

7363695

conference paper