DocumentCode :
2572944
Title :
Adaptive reservations for feedback control
Author :
Fontanelli, D. ; Greco, L. ; Palopoli, L.
Author_Institution :
Dept. of Eng. & Inf. Sci. (DISI), Univ. of Trento, Trento, Italy
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
4236
Lastpage :
4243
Abstract :
In this paper, we start from an assigned control law with known probability distributions of its execution time. Our goal is to identify an optimised scheduling policy that allows us to strike an acceptable tradeoff between control performance and consumption of computation resource. The methodology we advocate is based on a resource reservation scheduler that allows us to control the budget of CPU time allocated to the task and to construct a dynamic model for the delays introduced by the computation. This model allows us to construct a feedback scheduler (adaptive reservations) that dynamically changes the bandwidth to fulfil the desired application goals minimising the computation resource requirements.
Keywords :
adaptive control; feedback; optimal control; probability; scheduling; assigned control law; feedback control; optimised scheduling policy; probability distributions; resource reservation scheduler; Computational modeling; Delay; Dynamic scheduling; Markov processes; Processor scheduling; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5717442
Filename :
5717442
Link To Document :
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