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Scheduling Strategies for Multitasking in a Distributed System
Washington, D.C. April 16-April 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SIMSYM.2000.84490433rd Annual Simulation Symposium
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Helen D. Karatza, "Scheduling Strategies for Multitasking in a Distributed System," Simulation Symposium, Annual, pp. 83, 33rd Annual Simulation Symposium, 2000.
 
 
BibTex
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@article{ 10.1109/SIMSYM.2000.844904,
author = {Helen D. Karatza},
title = {Scheduling Strategies for Multitasking in a Distributed System},
journal ={Simulation Symposium, Annual},
volume = {0},
year = {2000},
issn = {1080-241X},
pages = {83},
doi = {http://doi.ieeecomputersociety.org/10.1109/SIMSYM.2000.844904},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Simulation Symposium, Annual
TI - Scheduling Strategies for Multitasking in a Distributed System
SN - 1080-241X
SP
EP
A1 - Helen D. Karatza,
PY - 2000
KW - Scheduling
KW - Distributed Systems
KW - Performance
KW - Simulation
VL - 0
JA - Simulation Symposium, Annual
ER -
 
Helen D. Karatza, Aristotle University of Thessaloniki
In this paper, we study various policies for scheduling tasks in distributed processor queues. Their performance is studied and compared for a variety of workloads. It is our intention to find a policy that increases throughput and is fair to jobs. Simulation results indicate that the policy that schedules the shortest task in a queue, when there is not any other task that has been waiting more than some configurable period of time, yields good system performance and also provides a guarantee for fairness in individual job execution.
Index Terms:
Scheduling, Distributed Systems, Performance, Simulation
Citation:
Helen D. Karatza, "Scheduling Strategies for Multitasking in a Distributed System," ss, pp.83, 33rd Annual Simulation Symposium, 2000
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