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2006 First International Multi-Symposiums on Computer and Computational Sciences
A Dynamic Stochastic Heuristical Algorithm for Flexible Workload Management *
Hangzhou, Zhejiang, China
June 20-June 24
ISBN: 0-7695-2581-4
ASCII Text
x 
 
Xudong Chen, Qingxin Zhu, Yong Liao, Ping Kuang, "A Dynamic Stochastic Heuristical Algorithm for Flexible Workload Management *," Computer and Computational Sciences, International Multi-Symposiums on, vol. 2, pp. 230-236, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.149,
author = {Xudong Chen and Qingxin Zhu and Yong Liao and Ping Kuang},
title = {A Dynamic Stochastic Heuristical Algorithm for Flexible Workload Management *},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {2},
year = {2006},
isbn = {0-7695-2581-4},
pages = {230-236},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.149},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - A Dynamic Stochastic Heuristical Algorithm for Flexible Workload Management *
SN - 0-7695-2581-4
SP230
EP236
A1 - Xudong Chen,
A1 - Qingxin Zhu,
A1 - Yong Liao,
A1 - Ping Kuang,
PY - 2006
KW - null
VL - 2
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Xudong Chen, University of Electronic Science and Technology of China, China
Qingxin Zhu, University of Electronic Science and Technology of China, China
Yong Liao, University of Electronic Science and Technology of China, China
Ping Kuang, University of Electronic Science and Technology of China, China
An increasing number of real-time applications, related to multimedia, adaptive control and videoconference, require greater flexible scheduling than classical real-time systems permit. This paper proposes a novel approach that generates dynamically the upper bounds and the lower bounds of tasks to manage overload in a real-time system. And then we design a very simple stochastic heuristical algorithm to maximize the weighted reward of task set, and analyze the performance of this algorithm. The proposed scheme provides a very simple and efficient mechanism to handle overload in linear time complexity in the presence of rate constraints.
Citation:
Xudong Chen, Qingxin Zhu, Yong Liao, Ping Kuang, "A Dynamic Stochastic Heuristical Algorithm for Flexible Workload Management *," imsccs, vol. 2, pp.230-236, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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