Design and Implementation of Distributed Resource Management for Time Sensitive Applications
Chasparis, Georgios ; Maggio, Martina LU ; Bini, Enrico and Årzén, Karl-Erik LU
(2016)
In Automatica
64.
p.44-53
- Abstract
- In this paper, we address distributed convergence to fair allocations of CPU resources for time-sensitive applications. We propose a novel resource management framework where a centralized objective for fair allocations is decomposed into a pair of performance-driven recursive processes for updating: (a) the allocation of computing bandwidth to the applications (resource adaptation), executed by the resource manager, and (b) the computational demand of each application (service-level adaptation), executed by each application independently. We provide conditions under which the distributed recursive scheme exhibits convergence to solutions of the centralized objective (i.e., fair allocations). Contrary to prior work on centralized... (More)
- In this paper, we address distributed convergence to fair allocations of CPU resources for time-sensitive applications. We propose a novel resource management framework where a centralized objective for fair allocations is decomposed into a pair of performance-driven recursive processes for updating: (a) the allocation of computing bandwidth to the applications (resource adaptation), executed by the resource manager, and (b) the computational demand of each application (service-level adaptation), executed by each application independently. We provide conditions under which the distributed recursive scheme exhibits convergence to solutions of the centralized objective (i.e., fair allocations). Contrary to prior work on centralized optimization schemes, the proposed framework exhibits adaptivity and robustness to changes both in the number and nature of applications, while it assumes minimum information available to both applications and the resource manager. We finally validate our framework with simulations using the TrueTime toolbox in MATLAB/Simulink. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/5471479
- author
- Chasparis, Georgios
; Maggio, Martina
LU
; Bini, Enrico
and Årzén, Karl-Erik
LU
- organization
- publishing date
- 2016
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Automatica
- volume
- 64
- pages
- 44 - 53
- publisher
- Pergamon Press Ltd.
- external identifiers
-
- wos:000368967000006
- scopus:84951811717
- ISSN
- 0005-1098
- DOI
- 10.1016/j.automatica.2015.09.015
- language
- English
- LU publication?
- yes
- id
- 67190b29-12ee-483b-a0ef-38a41003d65a (old id 5471479)
- date added to LUP
- 2016-04-01 13:14:28
- date last changed
- 2022-05-15 03:23:42
@article{67190b29-12ee-483b-a0ef-38a41003d65a,
abstract = {{In this paper, we address distributed convergence to fair allocations of CPU resources for time-sensitive applications. We propose a novel resource management framework where a centralized objective for fair allocations is decomposed into a pair of performance-driven recursive processes for updating: (a) the allocation of computing bandwidth to the applications (resource adaptation), executed by the resource manager, and (b) the computational demand of each application (service-level adaptation), executed by each application independently. We provide conditions under which the distributed recursive scheme exhibits convergence to solutions of the centralized objective (i.e., fair allocations). Contrary to prior work on centralized optimization schemes, the proposed framework exhibits adaptivity and robustness to changes both in the number and nature of applications, while it assumes minimum information available to both applications and the resource manager. We finally validate our framework with simulations using the TrueTime toolbox in MATLAB/Simulink.}},
author = {{Chasparis, Georgios and Maggio, Martina and Bini, Enrico and Årzén, Karl-Erik}},
issn = {{0005-1098}},
language = {{eng}},
pages = {{44--53}},
publisher = {{Pergamon Press Ltd.}},
series = {{Automatica}},
title = {{Design and Implementation of Distributed Resource Management for Time Sensitive Applications}},
url = {{http://dx.doi.org/10.1016/j.automatica.2015.09.015}},
doi = {{10.1016/j.automatica.2015.09.015}},
volume = {{64}},
year = {{2016}},
}