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Prof. dr. M.R.H. (Michel) Mandjes

professor Faculty of Science / visiting professor FEB
Faculty of Economics and Business
Faculty of Science
Photographer: Monique Onderwater

Visiting address
  • Science Park 105
  • Room number: F3.37
Postal address
  • Postbus 94248
    1090 GE Amsterdam
  • Postbus 94248
    1090 GE Amsterdam
  • Publications

    2021

    2020

    2019

    2018

    • Bisewski, K., Crommelin, D., & Mandjes, M. (2018). Controlling the time discretization bias for the supremum of brownian motion. ACM Transactions on Modeling and Computer Simulation, 28(3), [24]. https://doi.org/10.1145/3177775 [details]
    • Bisewski, K., Crommelin, D., & Mandjes, M. (2018). Simulation-based assessment of the stationary tail distribution of a stochastic differential equation. In M. Rabe, A. A. Juan, N. Mustafee, A. Skoogh, S. Jain, & B. Johansson (Eds.), WSC'18: proceedings of the 2018 Winter Simulation Conference, December 9-12, 2018, Gothenburg, Sweden : Simulation for a noble cause (pp. 1742-1753). (Proceedings of the Winter Simulation Conference; Vol. 2018). Piscataway, NJ: IEEE. https://doi.org/10.1109/WSC.2018.8632197 [details]
    • Cahen, E. J., Mandjes, M., & Zwart, B. (2018). Estimating Large Delay Probabilities in Two Correlated Queues. ACM Transactions on Modeling and Computer Simulation, 28(1), [2]. https://doi.org/10.1145/3158667 [details]
    • Fiems, D., Mandjes, M., & Patch, B. (2018). Networks of infinite-server queues with multiplicative transitions. Performance Evaluation, 123-124, 35-49. https://doi.org/10.1016/j.peva.2018.03.003 [details]
    • Garlaschelli, D. (Guest ed.), van der Hofstad, R. (Guest ed.), den Hollander, F. (Guest ed.), & Mandjes, M. (Guest ed.) (2018). Special Issue on Complex Networks. Journal of Statistical Physics, 173(3-4), 439-1320.
    • Garlaschelli, D., van der Hofstad, R., den Hollander, F., & Mandjes, M. (2018). Special Issue of Journal of Statistical Physics Devoted to Complex Networks. Journal of Statistical Physics, 173(3-4), 439-447. https://doi.org/10.1007/s10955-018-2166-y [details]
    • Koops, D. T., Saxena, M., Boxma, O. J., & Mandjes, M. (2018). Infinite-server queues with Hawkes input. Journal of Applied Probability, 55(3), 920-943. https://doi.org/10.1017/jpr.2018.58 [details]
    • Kuhn, J., & Mandjes, M. (2018). Efficient simulation of tail probabilities in a queueing model with heterogeneous servers. Stochastic Models, 34(2), 239-267. https://doi.org/10.1080/15326349.2018.1458629 [details]
    • Kuhn, J., Mandjes, M., & Taimre, T. (2018). Exact asymptotics of sample-mean related rare-event probabilities. Probability in the Engineering and Informational Sciences, 32(2), 207-228. https://doi.org/10.1017/S0269964816000541 [details]
    • Mandjes, M., Starreveld, N. J., & Bekker, R. (2018). Queues on a Dynamically Evolving Graph. Journal of Statistical Physics, 173(3-4), 1124-1148. https://doi.org/10.1007/s10955-018-2036-7 [details]
    • Starreveld, N. J., Bekker, R., & Mandjes, M. (2018). Occupation times for the finite buffer fluid queue with phase-type ON-times. Operations Research Letters, 46(1), 27-32. https://doi.org/10.1016/j.orl.2017.10.012 [details]
    • Starreveld, N., Bekker, R., & Mandjes, M. (2018). Occupation times of alternating renewal processes with Lévy applications. Journal of Applied Probability, 55(4), 1287-1308. https://doi.org/10.1017/jpr.2018.86 [details]
    • den Hollander, F., Mandjes, M., Roccaverde, A., & Starreveld, N. J. (2018). Ensemble equivalence for dense graphs. Electronic Journal Of Probability, 23, [12]. https://doi.org/10.1214/18-EJP135 [details]

    2017

    2016

    2015

    2014

    • Arendarczyk, M., Dȩbicki, K., & Mandjes, M. (2014). On the tail asymptotics of the area swept under the Brownian storage graph. Bernoulli, 20(2), 395-415. https://doi.org/10.3150/12-BEJ491 [details]
    • Asghari, N. M., Mandjes, M., & Walid, A. (2014). Energy-ecient scheduling in multi-core servers. Computer Networks, 59, 33-43. https://doi.org/10.1016/j.bjp.2013.12.009 [details]
    • Asghari, N. M., den Iseger, P., & Mandjes, M. (2014). Numerical Techniques in Lévy Fluctuation Theory. Methodology and Computing in Applied Probability, 16(1), 31-52. https://doi.org/10.1007/s11009-012-9296-5 [details]
    • Blom, J., De Turck, K., Kella, O., & Mandjes, M. (2014). Tail asymptotics of a Markov-modulated infinite-server queue. Queueing Systems, 78(4), 337-357. https://doi.org/10.1007/s11134-014-9412-z [details]
    • Blom, J., Kella, O., Mandjes, M., & Thorsdottir, H. (2014). Markov-modulated infinite-server queues with general service times. Queueing Systems, 76(4), 403-424. https://doi.org/10.1007/s11134-013-9368-4 [details]
    • Ellens, W., Mandjes, M., Worm, D., & van den Berg, H. (2014). The effectiveness of throughput sampling for capacity management: a queueing approach. In A. Jamalipour, & D-J. Deng (Eds.), 2014 IEEE International Conference on Communications (ICC) (pp. 1197-1203). IEEE. https://doi.org/10.1109/ICC.2014.6883484 [details]
    • Huang, G., Mandjes, M., & Spreij, P. (2014). Limit theorems for reflected Ornstein-Uhlenbeck processes. Statistica Neerlandica, 68(1), 25-42. https://doi.org/10.1111/stan.12021 [details]
    • Huang, G., Mandjes, M., & Spreij, P. (2014). Weak convergence of Markov-modulated diffusion processes with rapid switching. Statistics & Probability Letters, 86, 74-79. https://doi.org/10.1016/j.spl.2013.12.013 [details]
    • Kemper, B., Klaassen, C. A. J., & Mandjes, M. (2014). Optimized appointment scheduling. European Journal of Operational Research, 239(1), 243-255. https://doi.org/10.1016/j.ejor.2014.05.027 [details]
    • Kuhn, J., Ellens, W., & Mandjes, M. (2014). Detecting Changes in the Scale of Dependent Gaussian Processes: A Large Deviations Approach. In B. Sericola, M. Telek, & G. Horváth (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 21st International Conference, ASMTA 2014, Budapest, Hungary, June 30-July 2, 2014: proceedings (pp. 170-184). (Lecture Notes in Computer Science; Vol. 8499). Cham: Springer. https://doi.org/10.1007/978-3-319-08219-6_12 [details]
    • Mandjes, M. (2014). Generalized birthday problems in the large-deviations regime. Probability in the Engineering and Informational Sciences, 28(1), 83-99. https://doi.org/10.1017/S026996481300034X [details]
    • Mata, F., Żuraniewski, P., Mandjes, M., & Mellia, M. (2014). Anomaly detection in diurnal data. Computer Networks, 60, 187-200. https://doi.org/10.1016/j.bjp.2013.11.011 [details]
    • de Turck, K. E. E. S., & Mandjes, M. R. H. (2014). Large deviations of an infinite-server system with a linearly scaled background process. Performance Evaluation, 75-76, 36-49. https://doi.org/10.1016/j.peva.2014.01.001 [details]
    • van Beek, M., Mandjes, M., Spreij, P., & Winands, E. (2014). Markov switching affine processes and applications to pricing. In M. Vanmaele, G. Deelstra, A. De Schepper, J. Dhaene, W. Schoutens, S. Vanduffel, & D. Vyncke (Eds.), Actuarial and Financial Mathematics Conference, Interplay between Finance and Insurance: February 6-7, 2014 (pp. 97-102). Brussel, België: Koninklijke Vlaamse Academie van België voor Wetenschappen en Kunsten. [details]

    2013

    • Asghari, N. M., Mandjes, M., & Walid, A. (2013). Optimizing energy management in multi-core servers. Performance Evaluation Review, 41(2), 38-40. https://doi.org/10.1145/2518025.2518031 [details]
    • Blanchet, J., & Mandjes, M. (2013). Asymptotics of the area under the graph of a Lévy-driven workload process. Operations Research Letters, 41(6), 730-736. https://doi.org/10.1016/j.orl.2013.10.004 [details]
    • Blom, J., & Mandjes, M. (2013). A large-deviations analysis of Markov-modulated infinite-server queues. Operations Research Letters, 41(3), 220-225. https://doi.org/10.1016/j.orl.2013.01.009 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2013). A Central Limit Theorem for Markov-Modulated Infinite-Server Queues. In A. Dudin, & K. De Turck (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 20th International Conference, ASMTA 2013, Ghent, Belgium, July 8-10, 2013 : proceedings (pp. 81-95). (Lecture Notes in Computer Science; Vol. 7984). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-39408-9_7 [details]
    • Blom, J., De Turck, K., & Mandjes, M. (2013). Rare Event Analysis of Markov-Modulated Infinite-Server Queues: A Poisson Limit. Stochastic Models, 29(4), 463-474. https://doi.org/10.1080/15326349.2013.838511 [details]
    • Blom, J., Mandjes, M., & Thorsdottir, H. (2013). Time-Scaling Limits for Markov-Modulated Infinite-Server Queues. Stochastic Models, 29(1), 112-127. https://doi.org/10.1080/15326349.2013.750536 [details]
    • Callegari, C., Coluccia, A., D'Alconzo, A., Ellens, W., Giordano, S., Mandjes, M., ... Żuraniewski, P. (2013). A Methodological Overview on Anomaly Detection. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.), Data traffic monitoring and analysis: from measurement, classification, and anomaly detection to quality of experience (pp. 148-183). (Lecture Notes in Computer Science; No. 7754). Berlin: Springer. https://doi.org/10.1007/978-3-642-36784-7_7 [details]
    • Dȩbicki, K., Mandjes, M., & Sierpińska-Tułacza, I. (2013). Transient analysis of Lévy-driven tandem queues. Statistics & Probability Letters, 83(7), 1776-1781. https://doi.org/10.1016/j.spl.2013.03.028 [details]
    • Ellens, W., Żuraniewski, P., Sperotto, A., Schotanus, H., Mandjes, M., & Meeuwissen, E. (2013). Flow-Based Detection of DNS Tunnels. In G. Doyen, M. Waldburger, P. Čeleda, A. Sperotto, & B. Stiller (Eds.), Emerging Management Mechanisms for the Future Internet: 7th IFIP WG 6.6 international conference on autonomous infrastructure management, and security, AIMS 2013, Barcelona, Spain, June 25-28, 2013, proceedings (pp. 124-135). (Lecture Notes in Computer Science; Vol. 7943). Heidelberg: Springer. https://doi.org/10.1007/978-3-642-38998-6_16 [details]
    • Es-Saghouani, A., & Mandjes, M. (2013). Exact multivariate workload asymptotics. Mathematical Methods of Operations Research, 78(3), 405-415. https://doi.org/10.1007/s00186-013-0450-9 [details]
    • Juneja, S., & Mandjes, M. (2013). Overlap problems on the circle. Advances in Applied Probability, 45(3), 773-790. https://doi.org/10.1017/S0001867800006571 [details]
    • Kaynar, B., & Mandjes, M. (2013). Estimation of the workload correlation in a Markov fluid queue. Queueing Systems, 73(4), 407-424. https://doi.org/10.1007/s11134-013-9352-z [details]
    • Kella, O., & Mandjes, M. (2013). Transient analysis of reflected Lévy processes. Statistics & Probability Letters, 83(10), 2308-2315. https://doi.org/10.1016/j.spl.2013.06.008 [details]
    • Koot, M., Mandjes, M., van 't Noordende, G., & de Laat, C. (2013). A probabilistic perspective on re-identifiability. Mathematical Population Studies, 20(3), 155-171. https://doi.org/10.1080/08898480.2013.816222 [details]
    • Mandjes, M., & Żuraniewski, P. (2013). Changepoint Detection Techniques for VoIP Traffic. In E. Biersack, C. Callegari, & M. Matijasevic (Eds.), Data traffic monitoring and analysis (pp. 184-201). (Lecture Notes in Computer Science; No. 7754). Berlin: Springer. https://doi.org/10.1007/978-3-642-36784-7_8 [details]
    • den Iseger, P., Gruntjes, P., & Mandjes, M. (2013). A Wiener-Hopf based approach to numerical computations in fluctuation theory for Lévy processes. Mathematical Methods of Operations Research, 78(1), 101-118. https://doi.org/10.1007/s00186-013-0434-9 [details]
    • Żuraniewski, P., Mandjes, M., van den Berg, H., & Malhotra, R. (2013). Resource Allocation in a Multiple-Priority Buffered Link. In A. Dudin, & K. De Turck (Eds.), Analytical and Stochastic Modeling Techniques and Applications: 20th International Conference, ASMTA 2013, Ghent, Belgium, July 8-10, 2013 : proceedings (pp. 457-471). (Lecture Notes in Computer Science; Vol. 7984). Springer. https://doi.org/10.1007/978-3-642-39408-9_32 [details]

    2012

    2011

    2010

    2009

    2008

    • Boxma, O., Mandjes, M., & Kella, O. (2008). On a queuing model with service interruptions. Probability in the Engineering and Informational Sciences, 22(04), 537-555. https://doi.org/10.1017/S0269964808000326 [details]
    • Es-Saghouani, A., & Mandjes, M. (2008). On the correlation structure of a Lévy-driven queue. Journal of Applied Probability, 45(4), 940-952. https://doi.org/10.1239/jap/1231340225 [details]
    • Lieshout, P., & Mandjes, M. (2008). A note on the delay distribution in GPS. Operations Research Letters, 36(1), 117-122. https://doi.org/10.1016/j.orl.2007.04.012 [details]
    • Lieshout, P., & Mandjes, M. (2008). Asymptotic analysis of Lévy-driven tandem queues. Queueing Systems, 60(3-4), 203-226. https://doi.org/10.1007/s11134-008-9094-5 [details]
    • Lieshout, P., & Mandjes, M. (2008). Generalized processor sharing: Characterization of the admissible region and selection of optimal weights. Computers & Operations Research, 35(8), 2497-2519. https://doi.org/10.1016/j.cor.2006.12.028 [details]
    • Lieshout, P., & Mandjes, M. (2008). Importance sampling in rate-sharing networks. In Proceedings of the 1st International Conference on Simulation Tools and Techniques for Communications, Networks and Systems & workshops (pp. 24). Brussels: Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST). [details]
    • Mandjes, M. R. H., & Scheinhardt, W. (2008). A fluid model for a relay node in an ad hoc network: Evaluation of resource sharing policies. Journal of Applied Mathematics and Stochastic Analysis, 2008, 518214. https://doi.org/10.1155/2008/518214 [details]
    • Mandjes, M., & Ramakrishnan, M. (2008). Bandwidth trading under misaligned objectives: decentralized, measurement-based control. Computer Networks, 52(3), 475-492. https://doi.org/10.1016/j.comnet.2007.08.009 [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2008). Simple and efficient importance sampling scheme for a tandem queue with server slow-down. In Proceedings of the seventh International Workshop on Rare Event Simulation (RESIM 2008) (pp. 38-50). Rennes: INRIA. [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2008). Simulation of a Jackson tandem network using state-dependent importance sampling. In Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools (pp. 14). Brussels: ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering). https://doi.org/10.4108/ICST.VALUETOOLS2008.4370 [details]

    2007

    • Blanchet, J., & Mandjes, M. R. H. (2007). Rare-event simulation for queues (Editorial). Queueing Systems, 57(2-3), 57-59. https://doi.org/10.1007/s11134-007-9053-6 [details]
    • Dębicki, K., & Mandjes, M. (2007). A note on large-buffer asymptotics for generalized processor sharing with Gaussian inputs. Queueing Systems, 55(4), 251-254. https://doi.org/10.1007/s11134-007-9021-1 [details]
    • Dębicki, K., Mandjes, M., & van Uitert, M. (2007). A tandem queue with Lévy input: a new representation of the downstream queue length. Probability in the Engineering and Informational Sciences, 21(1), 83-107. https://doi.org/10.1017/S0269964807070064 [details]
    • Egorova, R., Mandjes, M. R. H., & Zwart, B. (2007). Sojourn time asymptotics in Processor Sharing queues with varying service rate. Queueing Systems, 56(3-4), 169-181. https://doi.org/10.1007/s11134-007-9026-9 [details]
    • Goebel, J., Krzesinski, A., & Mandjes, M. R. H. (2007). Analysis of an ad hoc network with autonomously moving nodes. In Proceedings of the Australasian Telecommunication Networks and Applications Conference "ATNAC" 2007 (pp. 41-46) [details]
    • Lieshout, P. M. D., & Mandjes, M. R. H. (2007). Tandem Brownian queues. Mathematical Methods of Operations Research, 66(2), 275-298. https://doi.org/10.1007/s00186-007-0149-x [details]
    • Mandjes, M. R. H. (2007). Large Deviations for Gaussian Queues (Modelling Communication Networks). Chichester, UK: Wiley. [details]
    • Mandjes, M. R. H. (2007). Communication Networks - Analysis of jitter due to call-level fluctuations. European Transactions on Telecommunications, 18(1), 97-108. https://doi.org/10.1002/ett.1109 [details]
    • Mandjes, M. R. H., & Roijers, F. (2007). A fluid system with coupled input and output, and its application to bottlenecks in ad hoc networks. Queueing Systems, 56(2), 79-92. https://doi.org/10.1007/s11134-007-9034-9 [details]
    • Mandjes, M. R. H., & Timmer, J. (2007). A duopoly model with heterogeneous congestion-sensitive customers. European Journal of Operational Research, 176(1), 445-467. https://doi.org/10.1016/j.ejor.2005.08.010 [details]
    • Mandjes, M. R. H., Mannersalo, P., & Norros, I. (2007). Gaussian tandem queues with an application to dimensioning of switch fabric interfaces. Computer Networks, 51(3), 781-797. https://doi.org/10.1016/j.comnet.2006.06.006 [details]
    • Miretskiy, D. I., Scheinhardt, W. R. W., & Mandjes, M. R. H. (2007). Tandem queue with server slow-down. Performance Evaluation Review, 35(3), 51-52. https://doi.org/10.1145/1328690.1328712 [details]
    • Roijers, F., Mandjes, M. R. H., & van den Berg, H. (2007). Analysis of congestion periods of an M/M/infinity-queue. Performance Evaluation, 64(7-8), 737-754. https://doi.org/10.1016/j.peva.2006.12.001 [details]
    • Roijers, F., van den Berg, H., & Mandjes, M. (2007). Fluid-Flow Modeling of a Relay Node in an IEEE 802.11 Wireless Ad-Hoc Network. In L. Mason, T. Drwiega, & J. Yan (Eds.), Managing Traffic Performance in Converged Networks: 20th International Teletraffic Congress, ITC20 2007, Ottawa, Canada, June 17-21, 2007 : proceedings (pp. 321-334). (Lecture Notes in Computer Science; Vol. 4516). Springer. https://doi.org/10.1007/978-3-540-72990-7_31 [details]
    • van de Meent, R., Mandjes, M., & Pras, A. (2007). Smart Dimensioning of IP Network Links. In A. Clemm, L. Zambenedetti Granville, & R. Stadler (Eds.), Managing Virtualization of Networks and Services: 18th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, DSOM 2007, San José, CA, USA, October 29-31, 2007 : proceedings (pp. 86-97). (Lecture Notes in Computer Science; Vol. 4785). Berlin: Springer. https://doi.org/10.1007/978-3-540-75694-1_8 [details]
    • van den Berg, H., Mandjes, M., & Núñez-Queija, R. (2007). Pricing and distributed QoS control for elastic network traffic. Operations Research Letters, 35(3), 297-307. https://doi.org/10.1016/j.orl.2006.03.018 [details]

    2006

    • Abendroth, D., van den Berg, H., & Mandjes, M. R. H. (2006). A versatile model for TCP bandwidth sharing in networks with heterogeneous users. AEÜ International Journal of Electronics and Communications, 60, 267-278. https://doi.org/10.1016/j.aeue.2005.03.009 [details]
    • Degrande, N., de Vleeschauwer, D., Kooij, R. E., & Mandjes, M. R. H. (2006). Modeling ping times in first person shooter games. In C. Diot, & e.a. (Eds.), Proceedings ACM CoNEXT '06, Lisbon, Portugal ACM. [details]
    • Kella, O., Boxma, O., & Mandjes, M. R. H. (2006). A Levy process reflected at a Poisson age process. Journal of Applied Probability, 43, 221-230. https://doi.org/10.1239/jap/1143936255 [details]
    • Lieshout, P. M. D., Borst, S., & Mandjes, M. R. H. (2006). Heavy-traffic approximations for linear networks operating under alpha-fair bandwidth-sharing policies. In Proceedings Value Tools Pisa, Italy: ACM Digital Library. [details]
    • Lieshout, P. M. D., Mandjes, M. R. H., & Borst, S. (2006). GPS scheduling: Selection of optimal weights and comparison with strict priorities. Performance Evaluation, 34, 75-86. [details]
    • Mandjes, M. R. H. (2006). Large deviations for complex buffer architectures: the short-range dependent case. Stochastic Models, 22(1), 99-128. https://doi.org/10.1080/15326340500481762 [details]
    • Mandjes, M. R. H., & Mannersalo, P. (2006). Queueing systems fed by many exponential on-off sources: an infinite-intersection approach. Queueing Systems, 54, 5-20. https://doi.org/10.1007/s11134-006-7781-7 [details]
    • Mandjes, M. R. H., & Zwart, B. (2006). Large deviations for sojourn times in processor sharing queues. Queueing Systems, 52(4), 237-250. https://doi.org/10.1007/s11134-006-5567-6 [details]
    • Mandjes, M. R. H., Mannersalo, P., Norros, I., & van Uitert, M. (2006). Large deviations of infinite intersections of events in Gaussian processes. Stochastic Processes and their Applications, 116(9), 1269-1293. https://doi.org/10.1016/j.spa.2006.02.003 [details]
    • Miretskiy, D., Mandjes, M. R. H., & Scheinhardt, W. (2006). Efficient simulation of a tandem queue with server slowdown. In Proceedings of the 6th International Workshop on Rare Event Simulation (RESIM 2006) (pp. 132-143). Bamberg, Germany. [details]
    • van de Meent, R., Mandjes, M. R. H., & Pras, A. (2006). Gaussian traffic everywhere? Proceedings of the IEEE. [details]
    • van den Berg, H., Mandjes, M. R. H., van de Meent, R., Pras, A., Roijers, F., & Venemans, P. H. A. (2006). QoS-aware bandwidth provisioning for IP network links. Computer Networks, 50(5), 631-647. https://doi.org/10.1016/j.comnet.2005.05.028 [details]

    2005

    • Abendroth, D., van den Berg, H., & Mandjes, M. R. H. (2005). A multiple time-scale model for TCP bandwidth sharing under user heterogeneity. Lecture Notes in Computer Science, 3462, 561-573. [details]
    • Abendroth, D., van den Berg, J. L., & Mandjes, M. R. H. (2005). A versatile model for TCP bandwidth sharing in networks with user heterogeneity. In B. D. Choi (Ed.), Proceedings Korea-Netherlands Joint Conference on Queueing Theory and its Applications to Telecommunication Systems, , Seoul, South Korea. (pp. 173-188). Amsterdam: Centrum voor Wiskunde en Informatica. [details]
    • Dieker, A. B., & Mandjes, M. R. H. (2005). On asymptotically efficient simulation of large deviation probabilities. Advances in Applied Probability, 37(2), 539-552. https://doi.org/10.1239/aap/1118858638 [details]
    • Malhotra, R., van Haalen, R., Mandjes, M. R. H., & Núñez-Queija, R. (2005). Modeling the interaction of IEEE 802.3x hop-by-hop flow control with TCP end-to-end flow control. In Proceedings 1st EuroNGI Conference on Next Generation Internet Networks - Traffic Engineering, Rome, Italy Amsterdam: Centrum voor Wiskunde en Informatica. [details]
    • Mandjes, M. R. H., & Nuijens, M. F. M. (2005). Sojourn times in the M/G/1 FB queue with light-tailed service times. Probability in the Engineering and Informational Sciences, 19(3), 351-361. [details]
    • Mandjes, M. R. H., & van Uitert, M. J. G. (2005). Sample-path large deviations for generalized processor sharing queues with Gaussian inputs. Performance Evaluation, 61(2-3), 225-256. https://doi.org/10.1016/j.peva.2004.11.009 [details]
    • Mandjes, M. R. H., & van Uitert, M. J. G. (2005). Sample-path large deviations for tandem and priority queues with Gaussian inputs. The Annals of Applied Probability, 15, 1193-1226. https://doi.org/10.1214/105051605000000133 [details]
    • Mandjes, M. R. H., & van de Meent, R. (2005). Inferring traffic burstiness by sampling the buffer occupancy. Lecture Notes in Computer Science, 3462, 303-315. [details]
    • Mandjes, M. R. H., Mannersalo, P., & Norros, I. (2005). Priority queues with Gaussian input: a path-space approach to loss and delay asymptotics. In Proceedings ITC 19 (pp. 1135-1144). Beijing, China. [details]
    • Mandjes, M. R. H., Saniee, I., & Stolyar, A. L. (2005). Load characterization, overload prediction, and load anomaly detection for voice over IP traffic. IEEE Transactions on Neural Networks, 16(5), 1019-1028. https://doi.org/10.1109/TNN.2005.853427 [details]
    • Pras, A., van de Meent, R., & Mandjes, M. (2005). QoS in hybrid networks: an operator's perspective. Lecture Notes in Computer Science, 3552, 388-391. [details]
    • Scheinhardt, W., van Foreest, N., & Mandjes, M. R. H. (2005). Continuous feedback fluid queues. Operations Research Letters, 33(6), 551-559. https://doi.org/10.1016/j.orl.2004.11.008 [details]
    • van Foreest, N., van Ommeren, J. C., Mandjes, M. R. H., & Scheinhardt, W. (2005). A tandem queue with server slow-down and blocking. Stochastic Models, 21(2/3), 695-724. https://doi.org/10.1081/STM-200056037 [details]
    • van de Meent, R., & Mandjes, M. R. H. (2005). Evaluation of 'user-oriented' and 'black-box' traffic models for link provisioning. In Proceedings 1st EuroNGI Conference on Next Generation Internet Networks - Traffic Engineering, Rome, Italy. Amsterdam: Centrum voor Wiskunde en Informatica. [details]

    2004

    • Dębicki, K., & Mandjes, M. (2004). Traffic with an fBM limit: convergence of the stationary workload process. Queueing Systems, 46(1-2), 113-127. https://doi.org/10.1023/B:QUES.0000021144.61749.aa [details]
    • Mandjes, M. R. H. (2004). A note on the benefits of buffering. Stochastic Models, 20, 43-54. https://doi.org/10.1081/STM-120028390 [details]
    • Mandjes, M. R. H. (2004). Packet models revisited: tandem and priority systems. Queueing Systems, 47(4), 363-377. https://doi.org/10.1023/B:QUES.0000036397.20364.70 [details]
    • Mandjes, M. R. H. (2004). Pricing strategies and service differentiation. Netnomics, 6, 59-81. [details]
    • Mandjes, M. R. H., & Boots, N. K. (2004). The shape of the loss curve, and the impact of long-range dependence on network performance. AEÜ International Journal of Electronics and Communications, 58, 101-117. https://doi.org/10.1078/1434-8411-54100215 [details]
    • Mandjes, M. R. H., & Lasilla, P. (2004). A multi-level TCP model with heterogeneous RTTs. Lecture Notes in Computer Science, 3042, 52-63. [details]
    • Zwart, A. P., Borst, S., & Mandjes, M. R. H. (2004). Exact asymptotics for fluid queues fed by multiple heavy-tailed on-off sources. The Annals of Applied Probability, 14, 903-957. [details]
    • van de Meent, R., Pras, A., Mandjes, M. R. H., van den Berg, J. L., Roijers, F., Nieuwenhuis, L. J. M., & Venemans, P. H. A. (2004). Burstiness predictions based on rough network traffic measurements. In Proceedings of the 19th World Telecommunications Congress (WTC/ISS 2004), Seoul, Korea [details]

    2000

    • Boucherie, R. J., Verwijmeren, S. C. J., & Mandjes, M. (2000). Asymptotic evaluation of blocking probablities in a hierarchical cellular mobile network. Probability in the Engineering and Informational Sciences, 14, 81-99. [details]

    1997

    • Boucherie, R. J., Verwijmeren, S. C. J., & Mandjes, M. (1997). Asymptotic evaluation of blocking probabilities in a hierarchical cellular mobile network. AE-report, 97(10). [details]

    1996

    • Boucherie, R. J., & Mandjes, M. (1996). Computation of performance measures for product form cellular mobile communications networks. Report AE, 96(6). [details]

    2015

    • Boxma, O., Kapodistria, S., & Mandjes, M. (2015). Performance analysis of stochastic networks. Nieuw Archief voor Wiskunde, 5/16(3), 193-200. [details]
    • van Leeuwaarden, J., & Mandjes, M. (2015). NETWORKS. Nieuw Archief voor Wiskunde, 5/16(3), 161-164. [details]

    2007

    • Mandjes, M. (2007). Nieuwe kansen. (Oratiereeks). Vossiuspers UvA. [details]
    • Mandjes, M. (2007). Nieuwe kansen (2). Nieuw Archief voor Wiskunde, 5/8(3), 164-170. [details]

    2020

    • Mandjes, M. R. H., & Storm, P. J. (2020). Road traffic network design and control using a multi-class diffusion model. Paper presented at Informs TSL Second Triennial Conference, Arlington, VA, United States.

    Journal editor

    • Mandjes, M. R. H. (editor) (2011-2019). Journal of Applied Probability (Journal).
    • Mandjes, M. R. H. (editor) (2011-2019). Advances in Applied Probability (Journal).

    2017

    2009

    • Kemper, B. P. H., & Mandjes, M. R. H. (2009). Approximations for the mean sojourn time in a parallel qeue. (Report PNA; No. E0901). Amsterdam: Centrum Wiskunde & Informatica. [details]

    2008

    • Adan, I., Mandjes, M., Scheinhardt, W., & Tzenova, E. (2008). On a generic class of two-node queueing systems. (CWI research report; No. PNA-R0802). Amsterdam: Stichting Centrum voor Wiskunde en Informatica. [details]
    • Adan, I., Mandjes, M., Scheinhardt, W., & Tzenova, E. (2008). On a generic class of two-node queueing systems. (Eurandom report series; No. 2008-010). Eindhoven: Eurandom. [details]
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