Academic literature on the topic 'Simulation of queues'

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Journal articles on the topic "Simulation of queues"

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Greenberg, Albert G., Otmar Schlunk, and Ward Whitt. "Using Distributed-Event Parallel Simulation to Study Departures from Many Queues in Series." Probability in the Engineering and Informational Sciences 7, no. 2 (1993): 159–86. http://dx.doi.org/10.1017/s0269964800002850.

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In this paper we describe an application of distributed-event parallel simulation to study the transient behavior of a large non-Markovian network of queues. In particular, we implemented the parallel-prefix-based algorithm of Greenberg, Lubachevsky, and Mitrani [13,14] on the 8,192-processor CM-2 Connection machine and the 16,384-processor MasPar computer to simulate the departure times D(k, n) of the kth customer from the nth queue in a long series of single-server queues. Each queue has unlimited waiting space and uses the first-in first-out discipline. The service times of all the customer
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Amouzegar, Mahyar, and Khosrow Moshirvaziri. "A simulation framework for networked queue models: Analysis of queue bounds in a G/G/c supply chain." Journal of Applied Mathematics and Decision Sciences 2006 (September 18, 2006): 1–13. http://dx.doi.org/10.1155/jamds/2006/87514.

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Some limited analytical derivation for networked queue models has been proposed in the literature, but their solutions are often of a great mathematical challenge. To overcome such limitations, simulation tools that can deal with general networked queue topology must be developed. Despite certain limitations, simulation algorithms provide a mechanism to obtain insight and good numerical approximation to parameters of networked queues. This paper presents a closed stochastic simulation network model and several approximation and bounding schemes for G/G/c systems. The analysis was originally co
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Zheng, Guan, Yang Zhijun, Qian Wenhua, and He Min. "On Two-Level State-Dependent Routing Polling Systems with Mixed Service." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/109325.

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Based on priority differentiation and efficiency of the system, we consider anN+1queues’ single-server two-level polling system which consists of one key queue andNnormal queues. The novel contribution of the present paper is that we consider that the server just polls active queues with customers waiting in the queue. Furthermore, key queue is served with exhaustive service and normal queues are served with 1-limited service in a parallel scheduling. For this model, we derive an expression for the probability generating function of the joint queue length distribution at polling epochs. Based
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Connor, Stephen B., and Wilfrid S. Kendall. "Perfect simulation of M/G/c queues." Advances in Applied Probability 47, no. 4 (2015): 1039–63. http://dx.doi.org/10.1239/aap/1449859799.

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In this paper we describe a perfect simulation algorithm for the stable M/G/c queue. Sigman (2011) showed how to build a dominated coupling-from-the-past algorithm for perfect simulation of the super-stable M/G/c queue operating under first-come-first-served discipline. Sigman's method used a dominating process provided by the corresponding M/G/1 queue (using Wolff's sample path monotonicity, which applies when service durations are coupled in order of initiation of service). The method exploited the fact that the workload process for the M/G/1 queue remains the same under different queueing d
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Wong, Chi-kwong, and Yiu-yin Lee. "Lane-Based Traffic Signal Simulation and Optimization for Preventing Overflow." Mathematics 8, no. 8 (2020): 1368. http://dx.doi.org/10.3390/math8081368.

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In the lane-based signal optimization model, permitted turn directions in the form of lane markings that guide road users to turn at an intersection are optimized with traffic signal settings. The spatial queue requirements of approach lanes should be considered to avoid the overdesigning of the cycle, effective red, and effective green durations. The point-queue system employed in the conventional modeling approach is unrealistic in many practical situations. Overflow conditions cannot be modeled accurately, while vehicle queues are accumulated that block back upstream intersections. In a pre
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Ingolfsson, Armann, and Thomas A. Grossman. "Graphical Spreadsheet Simulation of Queues." INFORMS Transactions on Education 2, no. 2 (2002): 27–39. http://dx.doi.org/10.1287/ited.2.2.27.

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Ismail, Azhar, Muhammad Latif, and Mian Awai. "Exploiting witness for traffic simulation." Journal of Management and Science 1, no. 1 (2014): 12–24. http://dx.doi.org/10.26524/jms.2014.2.

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Traffic congestion in urban cities is an increasing problem. Not only does it lead to an increase in pollution, but the time spent waiting in traffic queues wastes valuable time in addition to causing frustration. A system that can control and manage traffic efficiently is one way that this issue can be reduced.A specific road traffic intersection in South Manchester, UK, was selected for investigation as it experiences high levels of traffic flow through it during the evening peak time. This has led to large queues and long waiting times due to the fixed timings of the traffic lights. This pa
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Knessl, Charles. "A diffusion model for two parallel queues with processor sharing: transient behavior and asymptotics." Journal of Applied Mathematics and Stochastic Analysis 12, no. 4 (1999): 311–38. http://dx.doi.org/10.1155/s1048953399000295.

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We consider two identical, parallel M/M/1 queues. Both queues are fed by a Poisson arrival stream of rate λ and have service rates equal to μ. When both queues are non-empty, the two systems behave independently of each other. However, when one of the queues becomes empty, the corresponding server helps in the other queue. This is called head-of-the-line processor sharing. We study this model in the heavy traffic limit, where ρ=λ/μ→1. We formulate the heavy traffic diffusion approximation and explicitly compute the time-dependent probability of the diffusion approximation to the joint queue le
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Raheja, Supriya, Reena Dadhich, and Smita Rajpal. "2-Layered Architecture of Vague Logic Based Multilevel Queue Scheduler." Applied Computational Intelligence and Soft Computing 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/341957.

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In operating system the decisions which CPU scheduler makes regarding the sequence and length of time the task may run are not easy ones, as the scheduler has only a limited amount of information about the tasks. A good scheduler should be fair, maximizes throughput, and minimizes response time of system. A scheduler with multilevel queue scheduling partitions the ready queue into multiple queues. While assigning priorities, higher level queues always get more priorities over lower level queues. Unfortunately, sometimes lower priority tasks get starved, as the scheduler assures that the lower
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Yang, Ya Wei, Hong Wei Ding, Jia Guo, Yong Wang, and Qian Lin Liu. "The Analysis of the Loss Rate of Information Packet of Multi-Queue Single Server Polling System in Bi-Directional Cable TV Network." Applied Mechanics and Materials 543-547 (March 2014): 3013–16. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3013.

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In this paper, the authors employ the multi-queue single-server system for information packets to calculate the theoretical value and computer simulation in the Bi-directional cable TV network. 3-queues single server polling system is used for example in the paper. And the simulation results show that the theoretical analysis and computer simulation are consistent.
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Dissertations / Theses on the topic "Simulation of queues"

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Xu, Ling. "Planning simulation run length in packet queues in communications networks." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8712.

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Simulation is a technique of growing importance and is becoming an indispensable tool applied in various academic industries, including packet networks. Simulation provides an alternative research approach to implementing a real environment, owing to its features of scalability, exibility and ease of setup. However, simulating large-scale networks can be very time and resource consuming. It can take several days to run one long simulation experiment, which may be expensive or even unaffordable. Therefore, planning simulation is important. This research proposes to plan simulation run length th
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Savatovic, Anita, and Mejra Cakic. "Estimating Optimal Checkpoint Intervals Using GPSS Simulation." Thesis, Linköping University, Department of Mathematics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8558.

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<p>In this project we illustrate how queueing simulation may be used to find the optimal interval for checkpointing problems and compare results with theoretical computations for simple systems that may be treated analytically.</p><p>We consider a relatively simple model for an internet banking facility. From time to time, the application server breaks down. The information at the time of the breakdown has to be passed onto the back up server before service may be resumed. To make the change over as efficient as possible, information of the state of user’s accounts is saved at regular interval
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Abdel-Jaber, Hussein F. "Performance Modelling and Evaluation of Active Queue Management Techniques in Communication Networks. The development and performance evaluation of some new active queue management methods for internet congestion control based on fuzzy logic and random early detection using discrete-time queueing analysis and simulation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4261.

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Since the field of computer networks has rapidly grown in the last two decades, congestion control of traffic loads within networks has become a high priority. Congestion occurs in network routers when the number of incoming packets exceeds the available network resources, such as buffer space and bandwidth allocation. This may result in a poor network performance with reference to average packet queueing delay, packet loss rate and throughput. To enhance the performance when the network becomes congested, several different active queue management (AQM) methods have been proposed and some of t
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Garrido, Myriam. "Modélisation des évènements rares et estimation des quantiles extrêmes , méthodes de sélection de modèles pour les queues de distribution." Phd thesis, Université Joseph Fourier (Grenoble), 2002. http://tel.archives-ouvertes.fr/tel-00004666.

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Cette thèse étudie la modélisation d'événements rares et l'estimation de quantiles extrêmes, à travers différents types de modèles et le choix de ces modèles. La théorie des valeurs extrêmes, et en particulier la méthode des excès (POT, Peaks Over Threshold), permettent une estimation non paramétrique, mais biaisée, des queues de distribution. Nous souhaitons donc utiliser des modèles paramétriques classiques. Cependant, ces modèles étant estimés et sélectionnés par des tests usuels à partir de l'échantillon complet, les résultats sont surtout influencés par les valeurs les plus probables de l
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Shorey, Rajeev. "Modelling And Analysis Of Event Message Flows In Distributed Discrete Event Simulators Of Queueing Networks." Thesis, Indian Institute of Science, 1995. http://hdl.handle.net/2005/148.

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Distributed Discrete Event Simulation (DDES) has received much attention in recent years, owing to the fact that uniprocessor based serial simulations may require excessive amount of simulation time and computational resources. It is therefore natural to attempt to use multiple processors to exploit the inherent parallelism in discrete event simulations in order to speed up the simulation process. In this dissertation we study the performance of distributed simulation of queueing networks, by analysing queueing models of message flows in distributed discrete event simulators. Most of the prior
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Encarnação, Alan Ferreira da. "APLICAÇÃO DE SIMULAÇÃO DISCRETA PARA A GESTÃO DE FILAS NO SETOR DE SERVIÇOS: ESTUDO DE UM RESTAURANTE SELF-SERVICE." Pontifícia Universidade Católica de Goiás, 2015. http://localhost:8080/tede/handle/tede/2476.

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Made available in DSpace on 2016-08-10T10:40:33Z (GMT). No. of bitstreams: 1 ALAN FERREIRA DA ENCARNACAO.pdf: 2933331 bytes, checksum: c35f4b9fb1427d754df19f35454d444e (MD5) Previous issue date: 2015-08-18<br>This paper discusses the application of discrete simulation for the management of queues in the service sector. Some service providers do not correctly dimensioning its service capacity generating queues. The efficient management of queues assists managers in making decisions. The characteristics of services and their important activities are addressed, aiming to demonstrate the Computa
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Ribeiro, Hugo Alves Silva. "Modelo de simulação para análise de processos de aeroporto de médio porte." Universidade Federal de São Carlos, 2015. https://repositorio.ufscar.br/handle/ufscar/3779.

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Made available in DSpace on 2016-06-02T19:52:09Z (GMT). No. of bitstreams: 1 6571.pdf: 4032074 bytes, checksum: e0d2561f673f9fff989f2b9d7c179d5e (MD5) Previous issue date: 2015-02-20<br>Financiadora de Estudos e Projetos<br>This paper aims to diagnose the passenger boarding and landing processes of the Uberlândia airport using the mapping process and computer simulation. The paper presents a review of literature about the airport sector, techniques of mapping process, data collection, queue management and computer simulation. The objective is to analyze each subsystem used by the passenger d
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Bedford, Anthony, and Anthony bedford@rmit edu au. "Single and dual queueing schemes with prioritised traffic scheduling and finite waiting room." RMIT University. Mathematical and Geospacial Sciences, 2003. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091002.141051.

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Analysis of new schemes aimed at improving congestion in communications systems is vital for todays service providers. Many techniques are used to evaluate such schemes be it precisely via mathematics or approximately using simulation. This thesis introduces a new scheme, the multi priority dual queue (MPDQ). The MPDQ is the combination of two concepts, the dual queue introduced by [Hayes et. al., 1999] and prioritised traffic. The MPDQ is a system with finite waiting room with two queues where traffic upon arrival if finding the first queue full wait in the second queue if there is roo
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Kaur, Parneet. "MsSpark: Implementation of Molecular Simulation Queries Using Apache Spark." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6272.

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Huge amount of data is being generated in almost every field and it cannot be avoided, rather is essential for the advancement of the field. Analysis of this data requires intensive computing power. Molecular Simulation is a powerful tool for understanding the behavior of natural systems. The simulation generates large amount data while observing the spatial and temporal relationships. The challenge is to handle the analytical queries that are often compute intensive. Although various tools exist to tackle this problem, but in this paper we have tried an alternate approach that uses Apache Spa
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Bahr, Hubert. "DATA BANDWIDTH REDUCTION TECHNIQUES FOR DISTRIBUTED EMBEDDED SIMULATIO." Doctoral diss., University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2778.

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Maintaining coherence between the independent views of multiple participants at distributed locations is essential in an Embedded Simulation environment. Currently, the Distributed Interactive Simulation (DIS) protocol maintains coherence by broadcasting the entity state streams from each simulation station. In this dissertation, a novel alternative to DIS that replaces the transmitting sources with local sources is developed, validated, and assessed by analytical and experimental means. The proposed Concurrent Model approach reduces the communication burden to transmission of only synchroniza
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Books on the topic "Simulation of queues"

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Brémaud, Pierre. Markov chains: Gibbs fields, Monte Carlo simulation, and queues. Springer, 1999.

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Probability, Markov chains, queues and simulation: The mathematical basis of performance modeling. Princeton University Press, 2009.

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Dunne, Noel P. F. Simulation of distributed queue dual bus metropolitan area network (DQDB MAN). University of Manchester, Department of Computer Science, 1996.

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Summer, Computer Simulation Conference (19th 1987 Montreal Quebec Canada). Proceedings of the 1987 Summer Computer Simulation Conference: July 27-30, 1987, the Queen Elizabeth Hotel, Montreal, Quebec, Canada. The Society, 1987.

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International Symposium on Modelling, Simulation, and Control of Hydrometallurgical Processes (1993 Québec, Québec). Modelling, simulation, and control of hydrometallurgical processes: Proceedings of the International Symposium on Modelling, Simulation, and Control of Hydrometallurgical Processes, Quebec City, Quebec, Canada, August 24-September 2, 1993. Edited by Papangelakis V. G. 1958-, Demopoulos G. P, and Hydrometallurgical Meeting (23rd : 1993 : Québec, Québec) ). Metallurgical Society of the Canadian Institue of Mining, Metallurgy, and Petroleum, 1993.

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Misut, Paul E. Simulation of ground-water flow and pumpage in Kings and Queens counties, Long Island, New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Misut, Paul E. Simulation of ground-water flow and pumpage in Kings and Queens counties, Long Island, New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Misut, Paul E. Simulation of ground-water flow and pumpage in Kings and Queens counties, Long Island, New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Misut, Paul E. Simulation of ground-water flow and pumpage in Kings and Queens counties, Long Island, New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Misut, Paul E. Simulation of ground-water flow and pumpage in Kings and Queens counties, Long Island, New York. U.S. Dept. of the Interior, U.S. Geological Survey, 1999.

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Book chapters on the topic "Simulation of queues"

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Zadorozhnyi, Vladimir. "Fractal Queues Simulation Peculiarities." In Communications in Computer and Information Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25861-4_35.

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Shedler, Gerald S. "Regenerative Simulation." In Regeneration and Networks of Queues. Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-1050-4_2.

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Shedler, Gerald S. "Discrete Event Simulation." In Regeneration and Networks of Queues. Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-1050-4_1.

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Allen, Theodore T. "Theory of Queues." In Introduction to Discrete Event Simulation and Agent-based Modeling. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-139-4_6.

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Blanchet, José, and Michel Mandjes. "Rare Event Simulation for Queues." In Rare Event Simulation using Monte Carlo Methods. John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470745403.ch5.

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Dębicki, Krzysztof, and Michel Mandjes. "Simulation of Lévy-Driven Queues." In Universitext. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20693-6_10.

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Chen, Ken. "TheM/G/1 Queues." In Performance Evaluation by Simulation and Analysis with Applications to Computer Networks. John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119006190.ch10.

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Bose, Sanjay K. "Simulation Techniques for Queues and Queueing Networks." In An Introduction to Queueing Systems. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0001-8_7.

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Lukashenko, Oleg, Evsey Morozov, Ruslana Nekrasova, and Michele Pagano. "Performance Evaluation of Finite Buffer Queues through Regenerative Simulation." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35980-4_15.

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Parekh, Shyam, and Jean Walrand. "Quick Simulation of Excessive Backlogs in Networks of Queues." In The IMA Volumes in Mathematics and Its Applications. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4613-8762-6_27.

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Conference papers on the topic "Simulation of queues"

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Zadorozhnyi, V. N. "Simulation modeling of fractal queues." In 2014 Dynamics of Systems, Mechanisms and Machines (Dynamics). IEEE, 2014. http://dx.doi.org/10.1109/dynamics.2014.7005703.

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Caraccio, Ilaria, Alexander V. Pechinkin, and Rostislav V. Razumchik. "Joint Stationary Distribution Of Queues In Homogenous M|M|3 Queue With Resequencing." In 28th Conference on Modelling and Simulation. ECMS, 2014. http://dx.doi.org/10.7148/2014-0558.

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Nirenberg, Samantha, Andrew Daw, and Jamol Pender. "THE IMPACT OF QUEUE LENGTH ROUNDING AND DELAYED APP INFORMATION ON DISNEY WORLD QUEUES." In 2018 Winter Simulation Conference (WSC). IEEE, 2018. http://dx.doi.org/10.1109/wsc.2018.8632436.

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Yang, Muer, Michael J. Fry, and W. David Kelton. "Are all voting queues created equal?" In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429279.

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Chan, Wai Kin, and Lee W. Schruben. "Mathematical programming representations for state-dependent queues." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736105.

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Kim, Yun Bae, and Jinsoo Park. "New approaches for inference of unobservable queues." In 2008 Winter Simulation Conference (WSC). IEEE, 2008. http://dx.doi.org/10.1109/wsc.2008.4736402.

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Nicola, Victor, and Tatiana Zaburnenko. "Efficient Simulation of Population Overflow in Parallel Queues." In 2006 Winter Simulation Conference. IEEE, 2006. http://dx.doi.org/10.1109/wsc.2006.323108.

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Qian, Pengfei, Lufeng Qiao, Qinghua Chen, and Xu Huang. "A Queue Manager Support Independent Management of Multicast Queues for CIOQ Switches." In 2018 IEEE 2nd International Conference on Circuits, System and Simulation (ICCSS). IEEE, 2018. http://dx.doi.org/10.1109/cirsyssim.2018.8525981.

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Zeifman, Alexander, Anna Korotysheva, Yacov Satin, Ksenia Kiseleva, Victor Korolev, and Sergey Shorgin. "Bounds For Markovian Queues With Possible Catastrophes." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0628.

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Heegaard, Poul E., and Werner Sandmann. "Importance sampling simulations of phase-type queues." In 2009 Winter Simulation Conference - (WSC 2009). IEEE, 2009. http://dx.doi.org/10.1109/wsc.2009.5429308.

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Reports on the topic "Simulation of queues"

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Glynn, Peter W., and Donald L. Iglehart. Simulation Methods for Queues: An Overview. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197084.

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L'Ecuyer, Pierre, Nataly Girous, and Peter W. Glynn. Stochastic Optimization by Simulation: Some Experiments with a Simple Steady-State Queue. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada210762.

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Kodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1802.

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The rapid growth in population and related demand for travel during the past few decades has had a catalytic effect on traffic congestion, air quality, and safety in many urban areas. Transportation managers and planners have planned for new facilities to cater to the needs of users of alternative modes of transportation (e.g., public transportation, walking, and bicycling) over the next decade. However, there are no widely accepted methods, nor there is enough evidence to justify whether such plans are instrumental in improving mobility of the transportation system. Therefore, this project re
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Glynn, Peter W., Nataly Giroux, and Pierre L'Ecuyer. Stochastic Optimization by Simulation: Numerical Experiments with M/M/1 Queue in Steady-State. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada271143.

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Simulation of freshwater-saltwater interfaces in the Brooklyn-Queens aquifer system, Long Island, New York. US Geological Survey, 1999. http://dx.doi.org/10.3133/wri984067.

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Simulation of ground-water flow and pumpage in Kings and Queens Counties, Long Island, New York. US Geological Survey, 1999. http://dx.doi.org/10.3133/wri984071.

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Hydrogeology, water quality, and simulation of ground-water-development alternatives in the Usquepaug-Queen ground-water reservoir, southern Rhode Island. US Geological Survey, 1997. http://dx.doi.org/10.3133/wri974126.

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