DocumentCode :
3717098
Title :
Multi-Constraint multi-processor Resource Allocation
Author :
Amir R. B. Behrouzian;Dip Goswami;Twan Basten;Marc Geilen;Hadi Alizadeh Ara
Author_Institution :
Eindhoven University of Technology, The Netherlands
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
338
Lastpage :
346
Abstract :
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.
Keywords :
"Resource management","Throughput","Feedback control","Computational modeling","Program processors","Processor scheduling","Computer architecture"
Publisher :
ieee
Conference_Titel :
Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS), 2015 International Conference on
Type :
conf
DOI :
10.1109/SAMOS.2015.7363695
Filename :
7363695
Link To Document :
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