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  1. Transactions on Modeling and Computer Simulation (TOMACS)
  2. ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 10
  3. Issue 3, July 2000
  4. Optimizing static calendar queues
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ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 27
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 26
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 25
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 24
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 23
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 22
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 21
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 20
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 19
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 18
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 17
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 16
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 15
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 14
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 13
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 12
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 11
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 10
Issue 4, Oct 2000
Issue 3, July 2000
Optimizing static calendar queues
The implementation of temporal intervals in qualitative simulation graphs
Simultaneous events and lookahead in simulation protocols
Supporting large-scale distributed simulation using HLA
Issue 2(Special issue on modeling and simulation of communication networks), April 2000
Issue 1, Jan 2000
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 9
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 8
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 7
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 6
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 5
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 4
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 3
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 2
ACM Transactions on Modeling and Computer Simulation (TOMACS) : Volume 1

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Optimizing static calendar queues

Content Provider ACM Digital Library
Author Lamarca, Anthony Ladner, Richard E. Erickson, K. Bruce
Copyright Year 2000
Abstract The calendar queue is an important implementation of a priority queue that is particularly useful in discrete event simulators. We investigate the performance of the static calendar queue that maintains $\textit{N}$ active events. The main contribution of this article is to prove that, under reasonable assumptions and with the proper parameter settings, the calendar queue data structure will have constant (independent of $\textit{N})$ expected time per event processed. A simple formula is derived to approximate the expected time per event. The formula can be used to set the parameters of the calendar queue to achieve optimal or near optimal performance. In addition, a technique is given to calibrate a specific calendar queue implementation so that the formula can be applied in a practical setting.
Starting Page 179
Ending Page 214
Page Count 36
File Format PDF
ISSN 10493301
e-ISSN 15581195
DOI 10.1145/361026.361028
Volume Number 10
Issue Number 3
Journal ACM Transactions on Modeling and Computer Simulation (TOMACS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2000-07-01
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Markov chain Algorithm analysis Calendar queue Data structures Discrete event simulation Optimization Priority queue
Content Type Text
Resource Type Article
Subject Computer Science Applications Modeling and Simulation
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