ACM Home Page
Please provide us with feedback. Feedback
Efficient simulation of multiclass queueing networks
Full text PdfPdf (871 KB)
Source Winter Simulation Conference archive
Proceedings of the 29th conference on Winter simulation table of contents
Atlanta, Georgia, United States
Pages: 216 - 223  
Year of Publication: 1997
ISBN:0-7803-4278-X
Authors
Shane G. Henderson  Department of Industrial and Operations Engineering, The University of Michigan, 1205 Beal Avenue, Ann Arbor, MI
Sean P. Meyn  Department of Electrical and Computer Engineering, University of Illinois-Urbana/Champaign, Urbana, IL
Sponsors
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
INFORMS/CS : Computer Science TC
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS : Society for Computer Simulation
ASA : American Statistical Association
IEEE : Institute of Electrical and Electronics Engineers
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 9,   Citation Count: 2
Additional Information:

references   cited by   index terms   collaborative colleagues   peer to peer  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/268437.268482
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
3
 
4
 
5
Bertsimas, D., I. Ch. Paschalidis, and J. N. Tsitsiklis. 1994. Optimization of multiclass queueing networks: polyhedral and nonlinear characterizations of achievable performance. Annals of Applied Probability 4:43-75.
 
6
Billingsley, P. 1986. Probability and measure, 2nd ed. Wiley, New York.
 
7
Bramson, M. 1994. Instability of FIFO queueing networks. Annals of Applied Probability 4:414-431.
 
8
 
9
Buzacott J. A., and J. G. Shanthikumar. 1993. Stochastic models of manufacturing systems. Prentice Hall.
 
10
Chen, H. 1995. Fluid approximations and stability of multiclass queueing networks: work-conserving discipiines. Annals of Applied Probability 5:637. 665.
 
11
Dai, J. G. 1995. On positive Harris recurrence of multiclass queueing networks: a unified approach via fluid limit models. Annals of Applied Probability 5:49-77.
 
12
Gershwin S. B. 1993. Manufacturing systems engineering. Englewood Cliffs, NJ: Prentice Hall.
 
13
Henderson S. G. 1997. Variance reduction via an approximating Markov process. Ph.D. Thesis, Department of Operations Research, Stanford University, CA. http://www-or.stanford.edu/msimlib/theses.html
 
14
Kelly, F. P. 1979. Reversibility and stochastic networks. New York, NY: John Wiley and Sons.
 
15
Kumar, S., and P. R. Kumar. 1994a. Performance bounds for queueing networks and scheduling policies. IEEE Transactions on Automatic Control 39:1600-1611.
 
16
Kumar, S., and P. R. Kumar. 1994b. Fluctuation smoothing policies are stable for stochastic reentrant lines. 33rd IEEE Proceedings Conference on Decision and Control 1476-1480.
 
17
Kumar, P. R., and S. P. Meyn. 1995. Stability of queueing networks and scheduling policies. IEEE Transactions on Automatic Control 40:251-260.
 
18
Kumar, P. R., and S. P. Meyn 1996. Duality and linear programs for stability and performance analysis of queuing networks and scheduling policies. IEEE tinsactions on Automatic Control 41:4- 17.
 
19
 
20
Lavenberg, S. S., and P. D. Welch. 1981. A perspective on the use of control variables to increase thr efficiency of Monte Carlo simulations. Manage ment Science 27:322-335.
 
21
 
22
Lippman, S. 1975. Applying a new device in the op timization of exponential queueing systems. Operations Research 23:687-710.
 
23
Loh, W. W. 1994. On the method of control variates. Ph.D. Thesis. Department of Operations Research, Stanford University, Stanford CA. http://www-or.stanford.edu/~simlib/theses.html
 
24
Meyn, S. P., and R. L. Tweedie. 1993. Markov chaina and stochastic stability. Springer-Verlag.
 
25
Nelson, B. L. 1989. Batch size effects on the efficiency of control variates in simulation. European Journal of Operational Research 43:184-196.
 
26
Ou, J., and L. M. Wein. 1992. Performance bounds for scheduling queueing networks. Annals of Applied Probability 2:460-480.
 
27
Rybko, A. N., and A. L. Stolyar. 1993. On the ergodicity of random processes that describe the functioning of open queueing networks. Problems of Information tinsmission 28:199-220.
 
28


Collaborative Colleagues:
Shane G. Henderson: colleagues
Sean P. Meyn: colleagues

Peer to Peer - Readers of this Article have also read: