Multi-constraint multi-processor resource allocation

A. Baghbanbehrouzian; D. Goswami; A.A. Basten; M.C.W. Geilen; H. Alizadeh Ara

Multi-constraint multi-processor resource allocation

A. Baghbanbehrouzian, D. Goswami, A.A. Basten, M.C.W. Geilen, H. Alizadeh Ara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

7 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the XVth International Conference Embedded Computer Systems : Architecture, Modeling and Simulation (SAMOS 2015), Samos, Greece, July 20-23, 2015)
Publisher	Institute of Electrical and Electronics Engineers
Publication status	Published - 2015

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Cite this

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title = "Multi-constraint multi-processor resource allocation",

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.",

author = "A. Baghbanbehrouzian and D. Goswami and A.A. Basten and M.C.W. Geilen and {Alizadeh Ara}, H.",

year = "2015",

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booktitle = "Proceedings of the XVth International Conference Embedded Computer Systems : Architecture, Modeling and Simulation (SAMOS 2015), Samos, Greece, July 20-23, 2015)",

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Multi-constraint multi-processor resource allocation. / Baghbanbehrouzian, A.; Goswami, D.; Basten, A.A.; Geilen, M.C.W.; Alizadeh Ara, H.

Proceedings of the XVth International Conference Embedded Computer Systems : Architecture, Modeling and Simulation (SAMOS 2015), Samos, Greece, July 20-23, 2015). Institute of Electrical and Electronics Engineers, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Multi-constraint multi-processor resource allocation

AU - Baghbanbehrouzian, A.

AU - Goswami, D.

AU - Basten, A.A.

AU - Geilen, M.C.W.

AU - Alizadeh Ara, H.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Proceedings of the XVth International Conference Embedded Computer Systems : Architecture, Modeling and Simulation (SAMOS 2015), Samos, Greece, July 20-23, 2015)

PB - Institute of Electrical and Electronics Engineers

ER -