A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments

Shayan Tabatabaei Nikkhah; Marc C.W. Geilen; Dip Goswami; Martijn L.P.J. Koedam; Andrew T. Nelson; Kees G.W. Goossens

doi:10.1109/DSD53832.2021.00042

A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments

Shayan Tabatabaei Nikkhah, Marc C.W. Geilen, Dip Goswami, Martijn L.P.J. Koedam, Andrew T. Nelson, Kees G.W. Goossens

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

1 Citation (Scopus)

208 Downloads (Pure)

Abstract

Traditional embedded systems and recent platforms used in emerging computing paradigms (e.g., fog computing) have resource limits and require their applications and services to be dynamically added (i.e., deployed) and removed at run-time. These applications often have non-functional (quality) requirements (e.g., end-to-end latency) which are only satisfied when sufficient resources are allocated to them. Hence, a run-time decision-maker is needed to optimize the deployments, in terms of resource budgets that are allocated to applications. Additionally, computing platforms have become heterogeneous in terms of their resources and the applications they execute. However, the existing deployment solutions are limited to specific resources and services. In this paper, we propose a run-time deployment framework that is more flexible in defining constraints and optimization goals and works with more heterogeneous resources and resource models than existing solutions. The framework is implemented on an embedded platform as a proof of concept.

Original language	English
Title of host publication	2021 24th Euromicro Conference on Digital System Design (DSD)
Editors	Francesco Leporati, Salvatore Vitabile, Amund Skavhaug
Publisher	Institute of Electrical and Electronics Engineers
Pages	212-220
Number of pages	9
ISBN (Electronic)	978-1-6654-2703-6
DOIs	https://doi.org/10.1109/DSD53832.2021.00042
Publication status	Published - 11 Oct 2021
Event	24th Euromicro Conference on Digital System Design, DSD 2021 - Virtual, Online, Palermo, Italy Duration: 1 Sept 2021 → 3 Sept 2021 Conference number: 24

Conference

Conference	24th Euromicro Conference on Digital System Design, DSD 2021
Abbreviated title	DSD 2021
Country/Territory	Italy
City	Palermo
Period	1/09/21 → 3/09/21

Funding

Funders	Funder number
European Union's Horizon 2020 - Research and Innovation Framework Programme
European Union's Horizon 2020 - Research and Innovation Framework Programme
Electronic Components and Systems for European Leadership	783162

Access to Document

10.1109/DSD53832.2021.00042

A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic EnvironmentsFinal author version , 478 KB

Cite this

Tabatabaei Nikkhah, S., Geilen, M. C. W., Goswami, D., Koedam, M. L. P. J., Nelson, A. T., & Goossens, K. G. W. (2021). A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments. In F. Leporati, S. Vitabile, & A. Skavhaug (Eds.), 2021 24th Euromicro Conference on Digital System Design (DSD) (pp. 212-220). Article 9556434 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DSD53832.2021.00042

Tabatabaei Nikkhah, Shayan ; Geilen, Marc C.W. ; Goswami, Dip et al. / A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments. 2021 24th Euromicro Conference on Digital System Design (DSD). editor / Francesco Leporati ; Salvatore Vitabile ; Amund Skavhaug. Institute of Electrical and Electronics Engineers, 2021. pp. 212-220

@inproceedings{cfb852dfbdd34eeb9e673019337a86b8,

title = "A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments",

abstract = "Traditional embedded systems and recent platforms used in emerging computing paradigms (e.g., fog computing) have resource limits and require their applications and services to be dynamically added (i.e., deployed) and removed at run-time. These applications often have non-functional (quality) requirements (e.g., end-to-end latency) which are only satisfied when sufficient resources are allocated to them. Hence, a run-time decision-maker is needed to optimize the deployments, in terms of resource budgets that are allocated to applications. Additionally, computing platforms have become heterogeneous in terms of their resources and the applications they execute. However, the existing deployment solutions are limited to specific resources and services. In this paper, we propose a run-time deployment framework that is more flexible in defining constraints and optimization goals and works with more heterogeneous resources and resource models than existing solutions. The framework is implemented on an embedded platform as a proof of concept. ",

author = "{Tabatabaei Nikkhah}, Shayan and Geilen, {Marc C.W.} and Dip Goswami and Koedam, {Martijn L.P.J.} and Nelson, {Andrew T.} and Goossens, {Kees G.W.}",

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Tabatabaei Nikkhah, S, Geilen, MCW , Goswami, D , Koedam, MLPJ , Nelson, AT & Goossens, KGW 2021, A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments. in F Leporati, S Vitabile & A Skavhaug (eds), 2021 24th Euromicro Conference on Digital System Design (DSD)., 9556434, Institute of Electrical and Electronics Engineers, pp. 212-220, 24th Euromicro Conference on Digital System Design, DSD 2021, Palermo, Italy, 1/09/21. https://doi.org/10.1109/DSD53832.2021.00042

A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments. / Tabatabaei Nikkhah, Shayan; Geilen, Marc C.W.; Goswami, Dip et al.
2021 24th Euromicro Conference on Digital System Design (DSD). ed. / Francesco Leporati; Salvatore Vitabile; Amund Skavhaug. Institute of Electrical and Electronics Engineers, 2021. p. 212-220 9556434.

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

TY - GEN

T1 - A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments

AU - Tabatabaei Nikkhah, Shayan

AU - Geilen, Marc C.W.

AU - Goswami, Dip

AU - Koedam, Martijn L.P.J.

AU - Nelson, Andrew T.

AU - Goossens, Kees G.W.

N1 - Conference code: 24

PY - 2021/10/11

Y1 - 2021/10/11

N2 - Traditional embedded systems and recent platforms used in emerging computing paradigms (e.g., fog computing) have resource limits and require their applications and services to be dynamically added (i.e., deployed) and removed at run-time. These applications often have non-functional (quality) requirements (e.g., end-to-end latency) which are only satisfied when sufficient resources are allocated to them. Hence, a run-time decision-maker is needed to optimize the deployments, in terms of resource budgets that are allocated to applications. Additionally, computing platforms have become heterogeneous in terms of their resources and the applications they execute. However, the existing deployment solutions are limited to specific resources and services. In this paper, we propose a run-time deployment framework that is more flexible in defining constraints and optimization goals and works with more heterogeneous resources and resource models than existing solutions. The framework is implemented on an embedded platform as a proof of concept.

AB - Traditional embedded systems and recent platforms used in emerging computing paradigms (e.g., fog computing) have resource limits and require their applications and services to be dynamically added (i.e., deployed) and removed at run-time. These applications often have non-functional (quality) requirements (e.g., end-to-end latency) which are only satisfied when sufficient resources are allocated to them. Hence, a run-time decision-maker is needed to optimize the deployments, in terms of resource budgets that are allocated to applications. Additionally, computing platforms have become heterogeneous in terms of their resources and the applications they execute. However, the existing deployment solutions are limited to specific resources and services. In this paper, we propose a run-time deployment framework that is more flexible in defining constraints and optimization goals and works with more heterogeneous resources and resource models than existing solutions. The framework is implemented on an embedded platform as a proof of concept.

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M3 - Conference contribution

SP - 212

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BT - 2021 24th Euromicro Conference on Digital System Design (DSD)

A2 - Leporati, Francesco

A2 - Vitabile, Salvatore

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ER -

Tabatabaei Nikkhah S, Geilen MCW , Goswami D , Koedam MLPJ , Nelson AT , Goossens KGW. A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments. In Leporati F, Vitabile S, Skavhaug A, editors, 2021 24th Euromicro Conference on Digital System Design (DSD). Institute of Electrical and Electronics Engineers. 2021. p. 212-220. 9556434 doi: 10.1109/DSD53832.2021.00042

A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments

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From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems

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A Deployment Framework for Quality-Sensitive Applications in Resource-Constrained Dynamic Environments

Abstract

Conference

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Access to Document

Other files and links

Fingerprint

Projects

From the cloud to the edge - smart IntegraTion and OPtimization Technologies for highly efficient Image and VIdeo processing Systems

Cite this