Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SAMOS.2015.7363695 | 2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS) |
Keywords | Field | DocType |
Resource allocation,multi-processors,throughput constraints,latency constraints,control applications,streaming applications,synchronous dataflow | Resource management,Multi processor,Computer science,Latency (engineering),Resource allocation,Electronics,Throughput,Processor scheduling,Time division multiple access,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 20 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir R. B. Behrouzian | 1 | 2 | 2.48 |
| Dip Goswami | 2 | 278 | 31.58 |
| Twan Basten | 3 | 1833 | 132.45 |
| Marc Geilen | 4 | 1346 | 84.30 |
| Hadi Alizadeh Ara | 5 | 3 | 3.50 |