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Special Issue: Quantitative Evaluation of Systems: Theory and Practice

October 2017

A Special Issue of the 14th International Conference on the Quantitative Evaluation of SysTems (Qest 2017) guest edited by Nathalie Bertrand and Luca Bortolussi will appear in TOMACS 2018.

 

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Reproducibility initiative successfully under way

 

In the first six months of 2017 three papers took already successfully part in the new replicating computational results (RCR) activity of TOMACS: MNO--PQRS: Max Nonnegativity Ordering—Piecewise-Quadratic Rate Smoothing, Semantics and Efficient Simulation Algorithms of an Expressive Multilevel Modeling Language, and Green Simulation: Reusing the Output of Repeated Experiments

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Forthcoming Articles
Replicated Computations Results (RCR) Report for "Mesoscopic modelling of pedestrian movement using Carma and its tools"

"Mesoscopic modeling of pedestrian movement using Carma and its tools" uses Carma (Collective Adaptive Resource-sharing Markovian Agents), a specification language recently introduced for modeling CAS, to model spatially-distributed systems where the desired model lies between an individual-based (microscopic) and a population-based (macroscopic) spatial model. The impact on the system dynamics of changes to the topology of paths is studied via simulation. The provided experiments show that it is difficult to predict the effect of changes to the network structure and that even small variations can produce significant effects. This replicated computations results report focuses on the prototypical tool implementation used in the paper to perform such analysis. The software was straightforward to install and use, and all the experimental results from the paper could be reproduced.

Replicated Computations Results (RCR) Report for "Reusing Search Data in Ranking and Selection: What Could Possibly Go Wrong"

"Reusing Search Data in Ranking and Selection: What Could Possibly Go Wrong" by Eckman and Henderson rigorously defines the statistical guarantees for ranking-and-selection (R&S) procedures after random search, and points out that the simulation replications collected in the search phase are conditionally dependent given the sequence of returned systems. Therefore, reusing the search data for R&S may affect the statistical guarantees. The authors further design random search algorithms to demonstrate that the correct selection guarantees of some ranking-and-selection procedures will be compromised if reusing the simulation replications taken during the search. This replicated computation report focuses on the reproducibility of the experiment results in the aforementioned article.

Engineering Resilient Collective Adaptive Systems by Self-Stabilisation

Collective adaptive systems are an emerging class of networked computational systems, particularly suited in application domains such as smart cities, complex sensor networks, and the Internet of Things. These systems tend to feature large scale, heterogeneity of communication model (including opportunistic peer-to-peer wireless interaction), and require inherent self-adaptiveness properties to address unforeseen changes in operating conditions. In this context, it is extremely difficult (if not seemingly intractable) to engineer reusable pieces of distributed behaviour so as to make them provably correct and smoothly composable. Building on the field calculus, a computational model (and associated toolchain) capturing the notion of aggregate network-level computation, we address this problem with an engineering methodology coupling formal theory and computer simulation. On the one hand, functional properties are addressed by identifying the largest-to-date field calculus fragment generating self-stabilising behaviour, guaranteed to eventually attain a correct and stable final state despite any transient perturbation in state or topology, and including highly reusable building blocks for information spreading, aggregation and time evolution. On the other hand, non-functional properties are addressed by simulation, empirically evaluating the different performances that can be obtained by switching implementations of building blocks with provably equivalent functional properties. Overall, our methodology sheds light on how to identify core building blocks of collective behaviour, and how to select implementations that improve system performance while leaving overall system function and resiliency properties unchanged.

Efficient Simulation for Expectations over the Union of Half-Spaces

In this paper, we develop a new scheme of exact simulation for a class of tempered stable (TS) and other related distributions with similar Laplace transforms. We discover some interesting integral representations for the underlying density functions that imply a unique simulation framework based on a backward recursive procedure. Therefore, the foundation of this simulation design is very different from existing schemes in the literature. It works pretty efficiently for some subclasses of TS distributions, where even the conventional acceptance-rejection mechanism can be avoided. It can also generate some other distributions beyond the TS family. For applications, this scheme could be easily adopted to generate a variety of TS-constructed random variables and TS-driven stochastic processes for modelling observational series in practice. Numerical experiments and tests are performed to demonstrate the accuracy and effectiveness of our scheme.

Combining Simulation and Emulation Systems for Smart Grid Planning and Evaluation

Software-defined networking (SDN) enables efficient network management. As the technology matures, utilities are looking to integrate those benefits to their operations technology (OT) networks. To help the community to better understand and evaluate the effects of such integration, we develop DSSnet, a testing platform that combines a power distribution system simulator and an SDN-based network emulator for smart grid planning and evaluation. DSSnet relies on a container-based virtual time system to achieve efficient synchronization between the simulation and emulation systems. To enhance the system scalability and usability, we extend DSSnet to support the distributed controller environment. To enhance system fidelity, we extend the virtual time system to support kernel-based switches. We also evaluate the system performance of DSSnet and demonstrate the usability of DSSnet with a resilient demand response application case study.

Statistical Analysis of Simulation Output from Parallel Computing

This paper addresses the statistical output analysis of transient simulations in the parallel computing environment with fixed computing time. Using parallel computing, most unbiased estimators commonly used based on the output sequence compromise. To rectify this issue, this paper proposes an estimation procedure in the Bayesian framework. The proposed procedure is particularly useful when the computing time depends on the output value in each simulation replication. The effectiveness of our method is demonstrated through studies on queuing simulation and control chart simulation.

A Role-dependent Data-driven Approach for High Density Crowd Behavior Modeling

In this paper, we propose a role-dependent (RD) data-driven modeling approach to simulate pedestrians' motion in high density scenes. It is commonly observed that pedestrians behave quite differently when walking in dense crowd. Some people explore routes towards their destinations. Meanwhile, some people deliberately follow others, leading to lane formation. Based on these observations, two roles are included in the proposed model: leader and follower. The motion behaviors of leader and follower are modeled separately. Leaders' behaviors are learned from real crowd motion data using state-action pairs while followers' behaviors are calculated based on specific targets that are obtained dynamically during the simulation. The proposed RD model is trained and applied to different real world datasets to evaluate its generality and effectiveness. The simulation results demonstrate that the RD model is capable of simulating crowd behaviors in crowded scenes realistically and reproducing collective crowd behaviors such as lane formation.

Controlling the time discretization bias for the supremum of Brownian Motion

We consider the bias arising from time discretization when estimating the threshold crossing probability w(b) := P(supt(0,1] Bt > b), with (Bt)t(0,1] a standard Brownian Motion. We prove that if the discretization is equidistant, then to reach a given target value of the bias, the number of grid points has to grow quadratically in b, as b grows. When considering non-equidistant discretizations (i.e., with b-dependent grid-points), we can substantially improve in this: we show that for such adaptive grids the required number of grid points is independent of b, and in addition we point out how they can be used to construct a strongly efficient algorithm for the estimation of w(b).

On Automated Memoization in the Field of Simulation Parameter Studies

Processes in computer simulations tend to be highly repetitive. In particular, parameter studies further exasperate the situation as the same model is repeatedly executed with only partially varying parameters. Consequently, computer simulations perform identical computations, with identical code, identical input, and hence identical output. These redundant computations waste significant time and energy resources. Memoization, dating back to 1968, allows the caching of these intermediate identical results, thereby significantly speeding up those computations. However, up to now, automated approaches were limited to pure functions. At ACM SIGSIM-PADS 2016, we published, to the best of our knowledge, the first practical approach for automated memoization for impure code. In this work, we extend this approach and evaluate the performance characteristics of a number of extensions: (1) To reduce the memory footprint, we inves- tigate the impact of several cache eviction strategies. (2) We allow the original and the memoized code to coexist via a runtime-switch and analyze the crossover point. (3) By allowing the Memoization Cache to be persisted to disk, we expand the scope to exploratory parameter studies where cached results can now be reused across multiple simulation runs. Altogether, automated memoization for impure code is a valuable technique, the versatility of which we explore further in this article. Additional internal improvements allow us to speed up a case study of an OFDM network simulation by a factor of 80 (compared to 75 in our previous work) with an only marginal increase of memory consumption.

NeMo: A Massively Parallel Discrete-Event Simulation Model for Neuromorphic Architectures

Neuromorphic computing is a broad category of non-von Neumann architectures that mimic biological nervous systems using hardware. Current research shows that this class of computing can execute data classification algorithms using only a tiny fraction of the power conventional CPUs require. This raises the larger research question: how might neuromorphic computing be used to improve application performance, power consumption, and overall system reliability of future supercomputers? To address this question, an open-source neuromorphic processor architecture simulator called NeMo is being developed. This effort will enable the design space exploration of potential heterogeneous compute systems that combine traditional CPUs, GPUs, and neuromorphic hardware. This paper examines the design, implementation, and performance of NeMo. Demonstration of NeMos efficient execution using 2048 nodes of an IBM Blue Gene/Q system, modeling 8,388,608 neuromorphic processing cores is reported. The peak performance of NeMo is just over ten billion events-per-second when operating at this scale.

Replicated Computations Results (RCR) Report for Design and Verification of Trusted Collective Adaptive Systems

Replicated Computations Results (RCR) Report for A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds

"A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds" proposes a novel approach to task scheduling in volunteer clouds. Volunteer clouds are decentralized cloud systems based on collaborative task execution, where clients voluntarily share their own unused computational resources. By using simulation-based statistical analysis techniques, in particular statistical model checking, the authors show that their approach can outperform existing distributed task scheduling algorithms in case of computation-intensive workloads. The analysis considered a realistic workload benchmark provided by Google. This replicated computations results report focuses on the prototypical tool implementation used in the paper to perform such analysis. The software was straightforward to install and use, and a representative part of the experimental results from the paper could be reproduced in reasonable time using a standard laptop machine.

Mesoscopic modelling of pedestrian movement using CARMA and its tools

This article considers how a formal language and toolset for modelling Collective Adaptive Systems (CAS) can be applied to the mesoscopic modelling of pedestrian movement along paths expressed as a directed graph. The formal language used is Carma (Collective Adaptive Resource-sharing Markovian Agents), and the model is expressed in the Carma Specification Language (CaSL) to make use of the Carma Eclipse Plug-in for simulation and analysis. Carma and its tools have been developed to model CAS, which are systems consisting of interacting components that cooperate to achieve their shared goals or compete to achieve their individual goals. Our modelling approach is mesoscopic in nature because it does not not consider the movement of individuals in 2-dimensional space, nor does it consider the density of individuals using partial differential equations. In the models presented, pedestrians move along path segments at rates determined by the presence of other pedestrians, and make choices at the intersections of paths. The Carma modelling framework makes it straightforward to change the topology of the paths and other aspects of the model without rewriting the model. Pedestrians are expressed as Carma components and the information about the topology of the path network and the topography of the landscape can be expressed as separate functional and spatial aspects of the model.

Path-ZVA: general, efficient and automated importance sampling for highly reliable Markovian systems

We introduce Path-ZVA: an efficient simulation technique for estimating the probability of reaching a rare goal state before a renewal state in a Markov chain. Standard (Monte Carlo) simulation techniques do not work well for rare events, so we use importance sampling; i.e., we change the probability measure governing the Markov chain such that transitions `towards' the goal state become more likely. To do this we need an idea of distance to the goal state, so some level of knowledge of the Markov chain is required. In this paper, we use graph analysis to obtain this knowledge. In particular, we focus on knowledge of the shortest paths (in terms of `rare' transitions) to the goal state. We show that only a subset of the (possibly huge) state space of the Markov chain needs to be considered. We compare our results to well-known importance sampling methods from the literature and demonstrate the large potential gains of our method.

Exact Simulation for a Class of Tempered Stable and Related Distributions

In this paper, we develop a new scheme of exact simulation for a class of tempered stable (TS) and other related distributions with similar Laplace transforms. We discover some interesting integral representations for the underlying density functions that imply a unique simulation framework based on a backward recursive procedure. Therefore, the foundation of this simulation design is very different from existing schemes in the literature. It works pretty efficiently for some subclasses of TS distributions, where even the conventional acceptance-rejection mechanism can be avoided. It can also generate some other distributions beyond the TS family. For applications, this scheme could be easily adopted to generate a variety of TS-constructed random variables and TS-driven stochastic processes for modelling observational series in practice. Numerical experiments and tests are performed to demonstrate the accuracy and effectiveness of our scheme.

A distributed Algorithm for Bandwidth Allocation in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are important examples of Collective Adaptive System (CAS) which consist of a set of motes that are spatially distributed in an indoor or outdoor space. Each mote monitors its surrounding conditions, such as humidity, intensity of light, temperature, vibrations but also complex information such as images or small videos and cooperates with the whole set of motes forming the WSN in order to allow the routing process. The traffic in the WSN consists of packets which contain the data harvested by the motes and can be classified according to the type of information that they carry. One pivotal problem in WSNs is the bandwidth allocation among the motes. The problem is known to be challenging due to the reduced computational capacity of the motes, their energy consumption constraints and the fully decentralised network architecture. In this paper we introduce a novel algorithm to allocate the WSN bandwidth among the motes by taking into account the type of traffic they aim to send. The algorithm has a simple implementation and does not introduce extra control packets. Under the assumption of a mesh network and Poisson distributed harvested packets, we propose an analytical model for its performance evaluation that allows a designer to study the optimal configuration parameters. By an extensive set of simulations, we show that the analytical model accurately approximates the performance of networks that do not satisfy the assumptions. The algorithm is studied with respect to the achieved throughput and fairness.

Design and Verification of Trusted Collective Adaptive Systems

Collective adaptive systems (CAS) often adopt cooperative operating strategies in order to run distributed decision-making mechanisms. Sometimes, their effectiveness massively relies on the collaborative nature of individuals' behavior. Stimulating cooperation while preventing selfish and malicious behaviors is the main objective of trust and reputation models. These models are largely used in distributed, peer-to-peer envinronments and, therefore, represent an ideal framework for improving the robustness, as well as security, of CAS. In this paper, we propose a formal framework for modeling and verifying trusted CAS. From the modeling perspective, mobility, adaptiveness and trust-based interaction represent the main ingredients used to define a flexible and easy-to-use paradigm. Concerning analysis, formal automated techniques based on equivalence and model checking support the prediction of the CAS behavior and the verification of the underlying trust and reputation models, with the specific aim of estimating robustness with respect to the typical attacks conducted against webs of trust.

Reusing search data in ranking and selection: What could possibly go wrong?

It is tempting to reuse replications taken during a simulation optimization search as input to a ranking-and-selection procedure. However, even when the random inputs used to generate replications are i.i.d. and independent across systems, we show that for searches that use the observed performance of explored systems to identify new systems, the replications are conditionally dependent given the sequence of returned systems. Through simulation experiments, we demonstrate that reusing the replications taken during search in selection and subset-selection procedures can result in probabilities of correct and good selection well below the guaranteed levels. Based on these negative findings, we call into question the guarantees of established ranking-and-selection procedures that reuse search data. We also rigorously define guarantees for ranking-and-selection procedures after search and discuss how procedures that only provide guarantees in the preference zone are ill-suited to this setting.

A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds

The demand for provisioning, using and maintaining distributed computational resources is growing hand in hand with the quest for ubiquitous services. Centralized infrastructures such as cloud computing systems provide suitable solutions for many applications, but their scalability is limited by the server-side resources: an increase of clients and demands may compromise the cloud's ability to provide a satisfactory QoS, e.g., in case of latency-dependent applications. The volunteer cloud paradigm overcomes such limitation by encouraging clients to offer their own spare, perhaps unused, computational resources. Volunteer clouds are thus complex, large-scale, dynamic systems which demand for self-* capabilities to offer effective services, as well as modeling and analysis techniques to predict their behavior. We propose a novel holistic approach to improve the QoS of volunteer clouds supporting collaborative task execution services. We instantiate our approach by extending a recently proposed ant colony optimization algorithm for distributed task execution with a workload-based partitioning of the overlay network of the volunteer cloud. Finally, we evaluate our approach using simulation-based statistical analysis techniques on a workload benchmark provided by Google. Our results show that the proposed approach outperforms some traditional distributed task scheduling algorithms.

Bibliometrics

Publication Years 1991-2018
Publication Count 529
Citation Count 4710
Available for Download 529
Downloads (6 weeks) 1952
Downloads (12 Months) 12713
Downloads (cumulative) 275396
Average downloads per article 521
Average citations per article 9
First Name Last Name Award
Mostafa Ammar ACM Fellows (2003)
Kellogg S. Booth ACM Distinguished Member (2009)
ACM Senior Member (2009)
Edouard Bugnion ACM Fellows (2017)
ACM Software System Award (2009)
Timothy Alden Davis ACM Fellows (2014)
Scott Devine ACM Software System Award (2009)
Babak Falsafi ACM Fellows (2015)
ACM Senior Member (2007)
Richard M Fujimoto ACM Fellows (2017)
Albert G Greenberg ACM Fellows (2006)
Peter Haas ACM Fellows (2013)
Philip Heidelberger ACM Gordon Bell Prize (2006)
ACM Fellows (1996)
John Heidemann ACM Senior Member (2007)
Ahmed A Helmy ACM Distinguished Member (2014)
ACM Senior Member (2012)
Leonard Kleinrock ACM Fellows (2000)
Marta Kwiatkowska ACM Fellows (2016)
Richard E. Ladner ACM Fellows (1995)
Edward Lazowska ACM Distinguished Service Award (2009)
ACM Presidential Award (2005)
ACM Fellows (1995)
Yi-Bing Lin ACM Fellows (2003)
Margaret Loper ACM Senior Member (2009)
Malcolm Low ACM Senior Member (2017)
Madhav Marathe ACM Fellows (2013)
Vishal Misra ACM Senior Member (2013)
Trevor Mudge ACM Fellows (2016)
ACM-IEEE CS Eckert-Mauchly Award (2014)
Richard E Nance ACM Fellows (1996)
David M Nicol ACM Fellows (2005)
Michael John North ACM Senior Member (2007)
Eliot Rich ACM Senior Member (2016)
Mendel Rosenblum ACM Software System Award (2009)
ACM Fellows (2008)
ACM Doctoral Dissertation Award (1992)
Keith Ross ACM Fellows (2012)
Andre Seznec ACM Fellows (2016)
Xian-He Sun ACM Senior Member (2009)
Donald F Towsley ACM Fellows (1997)
Brian W. Unger ACM Senior Member (2009)
Amin Vahdat ACM Fellows (2011)
David A Wood ACM Fellows (2005)
Benjamin G Zorn ACM Distinguished Member (2011)

First Name Last Name Paper Counts
Peter Glynn 15
Barry Nelson 13
Pierre L'Ecuyer 11
Paul Fishwick 9
Shane Henderson 8
Wentong Cai 8
David Nicol 8
Philip Heidelberger 7
Richard Fujimoto 7
Shalabh Bhatnagar 7
David Goldsman 7
Sandeep Juneja 7
Kalyan Perumalla 7
Marvin Nakayama 7
Makoto Matsumoto 7
Christos Alexopoulos 6
Stephen TURNER 6
Wolfgang Hörmann 6
Sigrún Andradóttir 6
James Calvin 5
Lee Schruben 5
Adelinde Uhrmacher 5
Harald Niederreiter 5
Perwez Shahabuddin 5
Jose Blanchet 5
Yibing Lin 5
Enver Yücesan 4
Victor Nicola 4
Shu Tezuka 4
Francesco Quaglia 4
Raghu Pasupathy 4
Paul Reynolds, 4
Felisa Vázquez-Abad 4
Michael Devetsikiotis 4
Josef Leydold 4
Ernest Page 4
Gerhard Derflinger 4
James Wilson 4
Michel Mandjes 4
Rajive Bagrodia 4
Jeremy Staum 3
Szuhui Ng 3
George Kesidis 3
Georgios Theodoropoulos 3
Bruce Schmeiser 3
Wei Xie 3
Stefan Wegenkittl 3
Suiping Zhou 3
Yoshiharu Kurita 3
Art Owen 3
Boris Lubachevsky 3
Bruno Tuffin 3
Chunhung Chen 3
Sigrún Andradóttir 3
Raymond Couture 3
Seonghee Kim 3
Luc Devroye 3
Kevin Leder 3
Mineo Takai 3
Jane Hillston 3
Susan Sanchez 3
Michael Fu 3
Ward Whitt 3
Soumyadip Ghosh 3
Stephen Chick 3
George Riley 3
Jürgen Eichenauer-Herrmann 3
Junlan Zhou 3
Russell Cheng 3
Hui Wang 2
Ness Shroff 2
Marwan Krunz 2
Roland Ewald 2
Zengxiang Li 2
Tobias Helms 2
James Nutaro 2
Christopher Carothers 2
Bernd Heidergott 2
Samir Das 2
Robert Klein 2
Thomas Lucas 2
Loohay Lee 2
Jason Liu 2
Saikou Diallo 2
Rick Goh 2
Roman Chertov 2
Weibo Gong 2
Bernard Zeigler 2
Robert Sargent 2
Fernando Barros 2
Bruno Preiss 2
Stephen Roberts 2
Paul Glasserman 2
Paula Whitlock 2
Dashi Singham 2
Susan Hunter 2
Murat Kulahci 2
Teunis Ott 2
Sonia Fahmy 2
Bruce Ankenman 2
Violet Syrotiuk 2
Jose Padilla 2
Donato D’Ambrosio 2
Liu Hong 2
Albert Greenberg 2
Changcheng Huang 2
Robert Dittus 2
Sudhakar Yalamanchili 2
Alessandro Pellegrini 2
Gersende Fort 2
Richard Nance 2
Michael Lees 2
Reid Ness 2
Paul Barton 2
Joel Esposito 2
Vijay Kumar 2
Ioannis Lambadaris 2
Takuji Nishimura 2
Sheldon Jacobson 2
Alan Weiss 2
Karl Entacher 2
Dong Jin 2
Osman Balci 2
Babak Falsafi 2
Vijay Madisetti 2
Michel Broniatowski 2
Sudhir Srinivasan 2
Henrik Hult 2
Bruno Tuffin 2
Srikanth Yoginath 2
Giuliano Casale 2
Ross Gore 2
William Spataro 2
Keith Ross 2
Jean Walrand 2
Maria Hybinette 2
Lihyuan Deng 2
Warren Powell 2
Vivek Mishra 2
Lachlan Andrew 2
Dan CHEN 2
Malcolmyoke Low 2
Busung Lee 2
Edward Lazowska 2
Zhengrong Ji 2
David Wood 2
Ajay Jasra 2
Peter Hellekalek 2
Vladimir Protopopescu 1
Salvatore Di Gregorio 1
Vladislav Petkov 1
Fang Chu 1
K Erickson 1
Yong Liu 1
Yu Gu 1
Yujing Wu 1
Paul Wilson 1
Pontus Matstoms 1
Okan Topçu 1
Yingchao Hung 1
Carl Tropper 1
Alan George 1
A Dieker 1
William Lytton 1
Klaus Wehrle 1
Dimitrios Stiliadis 1
Vashti Galpin 1
K Prabuchandran 1
Lucas Schnorr 1
Richard Uhlig 1
Mostafa Bassiouni 1
John Tufarolo 1
Georgios Varsamopoulos 1
Rose Gilbert 1
Sumeetpal Singh 1
Nick Whiteley 1
Dzung Phan 1
Soumyadip Ghosh 1
Marvin Nakayama 1
Rajshekar Kalayappan 1
Segev Wasserkrug 1
Gul Agha 1
Anup Mokashi 1
Bert Zwart 1
Andrea Mineo 1
Davide Patti 1
Shellying Huang 1
Wenjing Hsu 1
Hui Fang 1
Dalei Wu 1
Ravi Mazumdar 1
Georgina Mellor 1
Pnina Vortman 1
Murat Gunal 1
Andreas Deutsch 1
Paul Sanchez 1
Giuseppe Filippone 1
Shea Miller 1
Susan Mniszewski 1
Steven Marcus 1
Songhee Kim 1
Yong Teo 1
Rong Rong 1
Stefan Rybacki 1
Norman Badler 1
Brian Unger 1
Nicholson Collier 1
PeiChi Wu 1
Dror Feitelson 1
Kai Strunz 1
Simon Rosenfeld 1
David Talby 1
Xenofontas Dimitropoulos 1
Dmitri Krioukov 1
Henri Faure 1
Pierre Brémaud 1
Philip Wilsey 1
Dhananjaimadhava Rao 1
Bruce Cota 1
James Hoe 1
Pirooz Vakili 1
Brad Johnson 1
Arnold Buss 1
Mark Lundstrom 1
David Messerschmitt 1
Soranun Jiwasurat 1
Ignacio Martinez-Moyano 1
Claudia Antonini 1
Yi Ding 1
George Rouskas 1
Tsunyi Tuan 1
Sanguthevar Rajasekaran 1
Rajeev Shorey 1
Antonis Sidiropoulos 1
Karmeshu 1
Yang Hong 1
Josiane Nzouonta 1
Fatma Ozmizrak 1
Steffen Strassburger 1
Navonil Mustafee 1
Mario Cin 1
Jun Yin 1
John Drew 1
Andrea Santoro 1
Jean Berger 1
Abraham George 1
David Everitt 1
Weicherng Liao 1
Rocco Rongo 1
J Wegman 1
Mingtang Lin 1
Tainchi Lu 1
Ora Percus 1
Richard Ladner 1
Denis Laurendeau 1
R Randhawa 1
Jacobus Rooda 1
Johan Olstam 1
Jan Lundgren 1
Minghua Hsieh 1
Jingxiang Luo 1
Adam Schwartz 1
Yiping Yao 1
Yadong Xu 1
Adnan Haider 1
Jianliang Zheng 1
Alexander Luck 1
Arwa Jamjoom 1
Guanghui Lu 1
Jangwon Bae 1
Bradford Canova 1
Stephen Herrod 1
Madhav Marathe 1
Deniz Cicek 1
Zahra Abbasi 1
Nicolas Chopin 1
Virgile Caron 1
Agnes Fussl 1
David Madigan 1
Alfred Park 1
Zhaolin Hu 1
Anand Vidyashankar 1
Pieter Mosterman 1
Thomas Kühne 1
Agostino Dovier 1
Valerie Demers 1
Debarghya Ghoshdastidar 1
Xueqian Zhao 1
Kody Law 1
Monika Heiner 1
Ting Li 1
Héctor Cancela 1
Jereme Lamps 1
Karl Palmskog 1
Qiong Zhang 1
Libero Nigro 1
Haiyan Luo 1
Yang Song 1
Ahmed Helmy 1
Boaz Carmeli 1
Avraham Shtub 1
Lalit Garg 1
Mischel Belderrain 1
Helcio Vieira 1
Christoph Junghans 1
Stephan Eidenbenz 1
Vivek Gupta 1
Jingchen Liu 1
Mamadou Seck 1
Declan Delaney 1
Hyo Ashihara 1
Séamus McLoone 1
Iain Phillips 1
José Hernández 1
Christopher Healey 1
John Granieri 1
Carey Williamson 1
Pasi Lassila 1
Benjamin Stopford 1
Dirk Kroese 1
Jerry Vos 1
Ray Paul 1
TagGon Kim 1
Xiaobai Sun 1
Jeffrey Chase 1
Seksan Kiatsupaibul 1
Yevgeniy Vorobeychik 1
Denis Miretskiy 1
Debasis Mitra 1
Natalie Steiger 1
Jeffrey Joines 1
Daniel Mc Clary 1
Jiehong Jiang 1
Donghai He 1
Jie Xu 1
Takaaki Kawai 1
Xiang Zhou 1
Cheng Li 1
Vladimir Adam 1
Anastasis Georgoulas 1
Guid Sanguinetti 1
Vincenzo Catania 1
Maurizio Palesi 1
Shamim Begum 1
Stéphane Dauzère-Pérès 1
Tillal Eldabi 1
Kobi Moskovitch 1
Sergev Wasserkrug 1
Maria Barton 1
Dmitry Ponomarev 1
Davide Marocco 1
Christoforos Kachris 1
David Kamensky 1
Kyoungkuk Kim 1
I Wang 1
Gleb Beliakov 1
Stein Kristiansen 1
Javier Aracil 1
Joan Donohue 1
Waikin Chan 1
Radharamanan Radhakrishnan 1
Henryk Fukś 1
Charles Overstreet 1
Sujin Kim 1
Werner Scheinhardt 1
Xiaolin Hu 1
Lewis Ntaimo 1
Alessandro Aldini 1
Roberto Gorrieri 1
Sanqi Li 1
Mordechay Levin 1
Roland Wunderlich 1
Stephen Conrad 1
John Shortle 1
Melike Meterelliyoz 1
Bennett Fox 1
Daniel Lewandowski 1
Radboud Tebbens 1
James Stascavage 1
Chihchieh Hsu 1
Miguel Canales 1
Kihong Park 1
Shihhsiang Lo 1
I Chung 1
Rita Brandao 1
Acácio Nova 1
Liming Feng 1
Stephen Turner 1
Samsun Lampotang 1
Ira Fischler 1
Svend Frølund 1
Eunji Lim 1
Haidong Xue 1
Benjamin Hamilton 1
Victor Yau 1
Zsolt Haraszti 1
Vineet Goyal 1
Mário Freire 1
V Bos 1
Donald Iglehart 1
Wayne Holland 1
Carmen Bobeanu 1
Vittorio Cortellessa 1
Jianlong Zhang 1
John Heidemann 1
Ravi Sharma 1
Michael Hines 1
Dirk Grunwald 1
Ning Liu 1
Alexander Steiniger 1
James Gross 1
Taesik Lee 1
Wander Wadman 1
Paul Sánchez 1
Stuart Sechrest 1
Edouard Bugnion 1
Anand Natrajan 1
Mark Broadie 1
Swaminathan Sureshchandran 1
Koichiro Inoue 1
Robert Foley 1
Michael Jonas 1
Christian Schäfer 1
Dominic Lee 1
Hany Ammar 1
Nelson Fonseca 1
Greg Lomow 1
Robert Firby 1
François Baccelli 1
Athena Vakali 1
José López-Ardao 1
Ian Macintyre 1
Kiran Rege 1
Dimitrios Katsaros 1
Peter Ware 1
Yehching Chung 1
Guoqi Qian 1
Theresa Roeder 1
Hong Wan 1
Michael Amrein 1
Peter Frazier 1
Lawrence Leemis 1
P Coe 1
Reuben Pasquini 1
Edward Mascarenhas 1
Gianluca Bontempi 1
Feng Tian 1
Judy Jin 1
Shlomi Dolev 1
Heinz Zechner 1
Michael Keane 1
Frank Emmerich 1
Victor Mak 1
Chungnan Lee 1
Paulo Monteiro 1
Christian Gagné 1
Shuo Pan 1
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Quan Lu 1
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J Yu 1
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Thomas Wenisch 1
Kurt Rohloff 1
Hyungwook Park 1
Zelda Zabinsky 1
Sumit Kunnumkal 1
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Krishnan Kumaran 1
ShingHoi Lee 1
Marissa Borrego 1
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Zhanpeng Jin 1
Allen Cheng 1
Nandyala Hemachandra 1
Donald Gross 1
Paul Bratley 1
Holger Grothe 1
Hannes Leeb 1
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Taeshin Park 1
Robert Ronngren 1
Konstantinos Stamos 1
ShingGang Kou 1
Chenxin Li 1
Mary Bailey 1
Simon Taylor 1
Wai Kin 1
WuLin Chen 1
Chris Tofts 1
Alejandro Hernandez 1
Xiaolin Hu 1
Linbo Luo 1
Yuval Elovici 1
Halim Damerdji 1
Kangsun Lee 1
Fragkiskos Papadopoulos 1
Konstantinos Psounis 1
Marius Hofert 1
Giuseppe Trunfio 1
Xi Chen 1
Wenyang Hsia 1
Karl Sigman 1
François De Rainville 1
Yorai Wardi 1
Vishal Misra 1
D Van Beek 1
Mikael Adlers 1
Mehmet Adak 1
Halit O&gcaron;uztuzun 1
Pétros Ioannou 1
Jurgen Doornik 1
Roman Rozin 1
Zhongwei Lin 1
Xiaosong Li 1
Georg Kunz 1
Zhenjiang Dong 1
Maysoon Abulkhair 1
Anujan Varma 1
Daan Crommelin 1
Boonping GAN 1
Scott Devine 1
Amandine Schreck 1
Sylvia Frühwirth-Schnatter 1
Patrick Ryan 1
Donghua Xu 1
ChaKun Lee 1
Enrico Pontelli 1
Jakob Ruess 1
John Lygeros 1
Clemens Schwaninger 1
Christopher Healey 1
Geetika Malhotra 1
Fei Liu 1
Georg Pflug 1
Vinod Tipparaju 1
Yuan Yi 1
Rakesh Kumar 1
David Parker 1
JéRôMe Talim 1
HaiFeng Guo 1
Yuguang Fang 1
Sylvain Housseman 1
Nabil Absi 1
Yariv Marmor 1
Ken Fullerton 1
Sally McClean 1
Georgios Lolas 1
Güzin Bayraksan 1
Vittoria Personè 1
Evgenia Smirni 1
David Love 1
Georgios Sirakoulis 1
Xi Chen 1
Sarat Moka 1
Claudia Szabo 1
Miguel Erazo 1
Matthew Sottile 1
Jason Dagit 1
WaiTeng Tang 1
Ian Thng 1
Mary Wagner 1
John Cleary 1
Levent Yilmaz 1
Sheila Banks 1
Adi Raveh 1
Huw Davies 1
Chengjye Luh 1
Pieter De Boer 1
Kimmo Raatikainen 1
José Gallardo 1
David Andersen 1
Weelit Koh 1
Gilberto Mayor 1
Anoop Gupta 1
David Hardaker 1
John Biegel 1
Mingjian Yuan 1
Anurag Kumar 1
George Pallis 1
Yannis Manolopoulos 1
Ali Tafazzoli 1
Dennis Schaeffer 1
Kayhan İmre 1
Rayadurgam Srikant 1
Reiichiro Kawai 1
Michael Pagels 1
Zisheng Chen 1
Benjamin Lok 1
Samuel Ehrlichman 1
Roland Ibbett 1
Vernon Rego 1
J Jump 1
Sandhya Dwarkadas 1
Matthew Carlyle 1
Darren Ong 1
Rami Puzis 1
Ad Ridder 1
Belgacem Bouzaïene-Ayari 1
Xiadong Fu 1
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Anthony LaMarca 1
Alexander Tuzhilin 1
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Chengshang Chang 1
Francesco Presti 1
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Glenn Carl 1
Pete Sanderson 1
Anastassios Chassiakos 1
George Fishman 1
Kunchan Lan 1
Davide Cingolani 1
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Jurgen Martens 1
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Xianhe Sun 1
Mirko Stoffers 1
Jie Li 1
Zdravko Botev 1
Leiting Chen 1
Sangwon Bae 1
Henri Casanova 1
Arnaud Legrand 1
Michael Garnsey 1
Xizhou Feng 1
Guy Schiavone 1
Christian Leger 1
Jennifer Harlow 1
Ivan Zorych 1
Ziyu Wang 1
Emin Sirer 1
Ken Funk 1
Ronald Nolte 1
Linar Mikeev 1
Verena Wolf 1
Jie Xu 1
Jie Liu 1
Marta Kwiatkowska 1
Denis Menshykau 1
Zhonghai Lu 1
Pierre Del Moral 1
Susan Lewis 1
Nugroho Pujowidianto 1
Mustafa Turkyilmazoglu 1
Guy Feldman 1
Weikun Wang 1
Franco Cicirelli 1
Hussein Al-Zubaidy 1
Raed Al-Zubi 1
Tirza Lauterman 1
Dagan Schwartz 1
Christine Currie 1
Elizabeth Corbett 1
Ohad Greenshpan 1
Peter Salemi 1
Jingjing Wang 1
Nael Abu-Ghazaleh 1
Rafał Wcisło 1
Gongjun Xu 1
James Swisher 1
Tito Homem-De-Mello 1
Damian Dechev 1
Xiaorong Li 1
Norman Matloff 1
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Ai Kuramoto 1
Daniel Heyman 1
Turgay Korkmaz 1
Zhonge Xiao 1
Glen Takahara 1
Yanick Champoux 1
Qianli Su 1
Benjamin Feng 1
Robert Smith 1
Huseyin Topaloglu 1
John Reed 1
Paul Dupuis 1
Luis Orozco-Barbosa 1
Thomas Stewart 1
Brian Mark 1
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Demet Batur 1
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Olaf Landsiedel 1
Weiping Luo 1
Cheng Feng 1
Vivek Borkar 1
David Nagle 1
Hui Wang 1
Trevor Mudge 1
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Margaret Loper 1
Minghsing Chiu 1
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Jiangzhuo Chen 1
Suruchi Deodhar 1
Yifei Ma 1
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Raazesh Sainudiin 1
Marc Suchard 1
Enlu Zhou 1
Elena Ehrlich 1
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Brian Merrell 1
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Taoying Farenhorst-Yuan 1
Huashuai Qu 1
Hiroshi Mineno 1
Cigdem Sengul 1
Mustafa Al-Bado 1
Gerardo Rubino 1
Charles Sutton 1
Tiancheng Song 1
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Ta Duong 1
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Ioannis Pachoulakis 1
Bradley Mitchell 1
Stephen Eick 1
Ruth Davies 1
Fred Hickernell 1
Francois Blouin 1
Brian Logan 1
Wei Jin 1
José Villén-Altamirano 1
Abdollah Afjeh 1
Gregory Follen 1
José Fortes 1
Dimitrios Makrakis 1
Emily Lada 1
Philippe Barbe 1
Youngmi Jin 1
Milan Vojnović; 1
Larry Soule 1
Jeff Rothenberg 1
Harry Perros 1
Sridhar Ramesh 1
Gajanana Nadoli 1
Wayne Loucks 1
Peter Epstein 1
Philip Fleming 1
Thomas Page 1
Bedi̇r Tekinerdoğan 1
Cherung Lee 1
Xiong Lin 1
Helen Karatza 1
Graham Birtwistle 1
Lawrence Williams 1
James Sinclair 1
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Feng Gu 1
Seungho Lee 1
Youngjun Son 1
Meytal Tubi 1
George O'Brien 1
Sudip Seal 1
Joshua Epstein 1
Constantinos Psomas 1
Ram Rajagopal 1
Katia Obraczka 1
Jens Svensson 1
Benjamin Melamed 1
Yannis Smaragdakis 1
Ákos Lédeczi 1
James Davis 1
Chiali Wang 1
Taewoo Kim 1
Elsa Gonsiorowski 1
Mohammand Ishlam Patoary 1
Heiko Aydt 1
Daniel Zehe 1
Ashvin Radiya 1
Tom Warnke 1
Richard Simard 1
Jun Wang 1
Ilchul Moon 1
Bert Zwart 1
Alvin Lebeck 1
Assaf Zeevi 1
Denis Choquet 1
Sandeep Gupta 1
Ayan Banerjee 1
Joshua Ferguson 1
Tridib Mukherjee 1
Éric Moulines 1
Firas Hamze 1
Kevin Walsh 1
Gary Warren 1
Guangwu Liu 1
Elvis Liu 1
Pooja Aggarwal 1
Seonghee Kim 1
Simon Shaw 1
Alfred Park 1
David Nicol 1
Mohamed Khadiri 1
Pu Zhang 1
Mingbin Feng 1
Yongjia Song 1
Salvatore Monteleone 1
Russell Barton 1
Song Ci 1
Gaurav Sharma 1
Changhee Joo 1
Sandeep Gupta 1
Dominique Feillet 1
Terry Young 1
Sara Tzafrir 1
Yossi Mesika 1
Karl Kienitz 1
David Yuen 1
Michail Tsompanas 1
Danny Perez 1
Ericcao Ni 1
Timothy Davis 1
Isaku Wada 1
Ernest Houck 1
James Enns 1
Kellogg Booth 1
Joseph Kearney 1
Yiannis Papelis 1
James Cremer 1
Jorma Virtamo 1
Steve Counsell 1
Weining Yang 1
Kevin Healy 1
Bahar Biller 1
Anna Lawniczak 1
Come Raczy 1
Hermann Thorisson 1
Manuel Villén-Altamirano 1
Tamer Bacsar 1
Alan Krantz 1
Ke Pan 1
TongqiangTony Wu 1
Alan Whisman 1
WeiWin Liou 1
Phillip Dickens 1
Marco Roccetti 1
Marco Bernardo 1
Na Li 1
Ihab Hamadeh 1
Su Deng 1
Cesar Neto 1
Robert Felderman 1
Yuhjeng Lee 1
David Miller 1
Raúl Rodríguez-Rubio 1
Andrés Suárez-González 1
Jörg Sack 1
Takeshi Tokuyama 1
Rassul Ayani 1
Burton Simon 1
Honggang Wang 1
Yenlin Chia 1
Lancelot James 1
Hans Künsch 1
James Yan 1
Louis Birta 1
Pankaj Garg 1
Rolf Waeber 1
Stylianos Zikos 1
Axel Hein 1
Felipe Knop 1
Victor Tay 1
Chanan Glezer 1
Peter Buchholz 1
Abdeslem Boukhtouta 1

Affiliation Paper Counts
Tongji University 1
Yahoo Inc. 1
Indian Statistical Institute (Delhi Centre) 1
The MathWorks, Inc. 1
National Penghu University 1
Infocomm Development Authority of Singapore 1
Ariel University Center of Samaria 1
Banca d'Italia 1
Microsoft Research Cambridge 1
Statistical and Applied Mathematical Sciences Institute, USA 1
Universita degli Studi di Enna "Kore" 1
Indian School of Business 1
Universite Grenoble Alpes 1
INRIA Saclay 1
Agriculture and Agri-Food Canada 1
Cass Business School 1
Brandenburg University of Technology Cottbus 1
Hewlett-Packard Inc. 1
Texas A and M University 1
University of Alabama in Huntsville 1
University of Bristol 1
Centre College Kentucky 1
Johannes Kepler University Linz 1
Kasetsart University 1
SAS Institute, Inc. 1
University College London 1
University of Durham 1
Scott AFB 1
Universite Paul Cezanne Aix-Marseille III 1
SUNY Downstate Medical Center 1
Nokia USA 1
Lancaster University 1
Osaka University 1
National Central University Taiwan 1
University of Plymouth 1
University College Cork 1
Wright-Patterson AFB 1
University of Thessaly 1
University of Vienna 1
Universidad Simon Bolivar, Caracas 1
Microsoft Corporation 1
NASA Glenn Research Center 1
Universidad Autonoma de Madrid 1
National Chengchi University 1
Institute for Advanced Studies 1
University of Roma Tor Vergata 1
San Francisco State University 1
Chulalongkorn University 1
University of New South Wales 1
Technical University of Madrid 1
IBM Zurich Research Laboratory 1
University of Chicago 1
California State University Long Beach 1
University of California, Riverside 1
Aerospace Corporation 1
Queen's University Belfast 1
Chung Yuan Christian University 1
The University of Georgia 1
Jawaharlal Nehru University 1
Hiroshima University 1
Swinburne University of Technology 1
University of Queensland 1
University of Cambridge 1
University of California System 1
London School of Hygiene & Tropical Medicine 1
California Institute of Technology 1
Universite de Nantes 1
Technological Education Institute-Crete 1
Amherst College 1
The Graduate Center 1
Harvard School of Public Health 1
TU Dortmund University 1
University of Leicester 1
York University Canada 1
HEC School of Management 1
University of Cyprus 1
Universidad de la Republica 1
Chin Min Institute of Technology Taiwan 1
Universite Libre de Bruxelles 1
Ericsson Radio Systems AB 1
Chalmers University of Technology 1
Brock University 1
Turku Centre for Computer Science 1
New Mexico State University Las Cruces 1
Institute for Infocomm Research, A-Star, Singapore 1
Nektar 1
Bar-Ilan University 1
Hunter College 1
University of Helsinki 1
IBM Tokyo Research Laboratory 1
Swansea University 1
Instituto Superior Tecnico 1
University College Dublin 1
China University of Geosciences, Wuhan 1
Newcastle University, United Kingdom 1
University of Mannheim 1
City University of New York 1
Laboratory of Signals and Systems 1
Turkish Naval Academy 1
CNRS Centre National de la Recherche Scientifique 1
University of Maine 1
Universite Paris Dauphine 1
Birkbeck University of London 1
IBM Almaden Research Center 1
University of Adelaide 1
University of Manitoba 1
Korea University of Technology and Education 1
Harvard University 1
University of Sassari 1
Telefonica 1
University of Colorado at Denver 1
The University of Western Ontario 1
Kyoto University 1
Kyushu University 1
Voorhees College 1
BBN Technologies 1
National Dong Hwa University 1
University of Turin 1
Ngee Ann Polytechnic 1
NIH National Cancer Institute 1
Mary Washington Hospital 1
University of Hawaii at Manoa 1
Myongji University 1
AT&T Inc. 1
Hong Kong Baptist University 1
University of California, Davis 1
Oxford Brookes University 1
Bilkent University 1
ENI S.p.A., Italy 1
University of Guelph 1
Sandia National Laboratories, California 1
University of Trento 1
Queen's University, Kingston 1
German Cancer Research Center 1
Instituto de Telecomunicacoes 1
Wichita State University 1
Kyonggi University 1
University of South Carolina 1
Advanced Micro Devices, Inc. 1
Deakin University 1
University of Nebraska at Omaha 1
Harbin Institute of Technology 1
University of Erlangen-Nuremberg 2
Loughborough University 2
Universite Pierre et Marie Curie 2
University of Calgary 2
University of Texas at San Antonio 2
RAND Corporation 2
University of Waikato 2
Institute of High Performance Computing, Singapore 2
National Taiwan University 2
University of Minnesota System 2
Bogazici University 2
Federal University of Rio Grande do Sul 2
Sandia National Laboratories, New Mexico 2
Linkoping University 2
HP Labs 2
Technical University of Denmark 2
Auburn University 2
University of Leeds 2
Indian Institute of Technology, Bombay 2
University of Nottingham 2
University of Kentucky 2
AGH University of Science and Technology 2
University of L'Aquila 2
Graz University of Technology 2
Binghamton University State University of New York 2
University of Coimbra 2
Kumamoto University 2
IBM, USA 2
University of Toledo 2
New York University 2
Brooklyn College 2
Motorola 2
Catholic University of Leuven, Leuven 2
The University of North Carolina at Chapel Hill 2
University of Udine 2
Stony Brook University 2
National Taiwan University of Science and Technology 2
University of Memphis 2
University of Miami 2
State University of Campinas 2
Singapore Institute of Manufacturing Technology 2
Syracuse University 2
University of California, San Diego 2
US Naval Academy 2
INRIA Rocquencourt 2
Intel Corporation 2
Laboratoire Traitement et Communication de l'Information 2
Cyprus University of Technology 2
Aalto University 2
National University Corporation Shizuoka University 2
National Research Laboratory of Metrology 2
TUMCREATE Limited 2
University of Colorado at Boulder 3
University of Beira Interior 3
Virginia Commonwealth University 3
University of Amsterdam 3
Middle East Technical University 3
King Abdulaziz University 3
Johns Hopkins University 3
Rice University 3
University of Illinois 3
Yale University 3
University of Electronic Science and Technology of China 3
Hebrew University of Jerusalem 3
Hong Kong University of Science and Technology 3
University of Oslo 3
Dartmouth College 3
National Sun Yat-Sen University Taiwan 3
Technical University of Berlin 3
State University of New York at Albany 3
City University of Hong Kong 3
University of Saskatchewan 3
University of Southern California, Information Sciences Institute 3
RWTH Aachen University 3
Hacettepe University 3
University of Ulster 3
Instituto Tecnologico de Aeronautica 3
National University of Defense Technology China 3
University of Cincinnati 3
National University of Ireland, Maynooth 3
Nokia Corporation 3
University of Bologna 3
TELECOM ParisTech 3
Rutgers, The State University of New Jersey 3
Democritus University of Thrace 3
Ghent University 3
Ecole des Mines de Saint-Etienne 4
Vanderbilt University 4
Duke University 4
Vrije Universiteit Amsterdam 4
University of Catania 4
IBM Research 4
Center for Mathematics and Computer Science - Amsterdam 4
MITRE Corporation 4
University of Pittsburgh 4
SAIC 4
National Tsing Hua University 4
Technical University of Dresden 4
University of Birmingham 4
University of Canterbury 4
University of California, Santa Cruz 4
University of Nebraska - Lincoln 4
University of Melbourne 4
University of Oxford 4
Institute for Research in IT and Random Systems 4
Ben-Gurion University of the Negev 4
Argonne National Laboratory 4
University of Ottawa, Canada 4
Saarland University 4
Illinois Institute of Technology 5
Austrian Academy of Sciences 5
Princeton University 5
INSEAD Europe 5
Los Alamos National Laboratory 5
The University of British Columbia 5
Georgia State University 5
University of Texas at Austin 5
INRIA Institut National de Rechereche en Informatique et en Automatique 5
Imperial College London 5
Florida International University 5
The College of William and Mary 5
University of Maryland 5
Massachusetts Institute of Technology 5
Telcordia Technologies, Inc. 5
Keio University 5
Universidad de Vigo 5
Carnegie Mellon University 5
Vanderbilt University Medical Center 5
University of Wisconsin Madison 5
Eindhoven University of Technology 5
IBM, Japan 5
University of Southampton 6
Technical University of Darmstadt 6
Brown University 6
University of Massachusetts Amherst 6
Aristotle University of Thessaloniki 6
Korea Advanced Institute of Science & Technology 6
Technion - Israel Institute of Technology 6
Laval University 6
University of Virginia 6
McGill University 6
IBM Haifa Labs 7
Delft University of Technology 7
University of Roma La Sapienza 7
University of Southern California 7
Pennsylvania State University 7
Indian Institute of Technology, Delhi 7
Tata Institute of Fundamental Research 7
University of Washington, Seattle 7
Royal Institute of Technology 7
Old Dominion University 7
Ohio State University 8
University of Salzburg 8
Swiss Federal Institute of Technology, Zurich 8
University of Calabria 8
University of Central Florida 8
University of California, Berkeley 8
Brunel University London 9
University of Waterloo 9
University Michigan Ann Arbor 9
Nokia Bell Labs 9
University of Pennsylvania 9
University of Arizona 10
Arizona State University 10
Vienna University of Economics and Business Administration 10
University of Twente 10
George Mason University 11
University of Illinois at Urbana-Champaign 11
Rensselaer Polytechnic Institute 12
University of Rostock 12
University of Edinburgh 12
Oak Ridge National Laboratory 12
IBM Thomas J. Watson Research Center 13
Indian Institute of Science, Bangalore 14
Carleton University 14
Naval Postgraduate School 14
New Jersey Institute of Technology 15
Virginia Tech 16
University of California, Los Angeles 16
University of Montreal 17
Cornell University 17
North Carolina State University 17
Northwestern University 19
Purdue University 19
National University of Singapore 20
University of Florida 21
Stanford University 25
Columbia University 26
Nanyang Technological University 31
Georgia Institute of Technology 55

ACM Transactions on Modeling and Computer Simulation (TOMACS)
Archive


2018
Volume 28 Issue 1, January 2018

2017
Volume 27 Issue 4, December 2017
Volume 27 Issue 3, September 2017
Volume 27 Issue 2, July 2017 Special Issue on PADS 2015

2016
Volume 27 Issue 1, November 2016
Volume 26 Issue 4, May 2016
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2015
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Volume 25 Issue 4, November 2015 Special Issue on Don Iglehart
Volume 25 Issue 3, May 2015
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Volume 25 Issue 1, January 2015

2014
Volume 24 Issue 4, August 2014 Special Issue on Emerging Methodologies and Applications
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2013
Volume 23 Issue 4, October 2013
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2012
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2011
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2010
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2009
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2008
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2007
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2006
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2005
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2004
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2003
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Volume 13 Issue 1, January 2003

2002
Volume 12 Issue 4, October 2002
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Volume 12 Issue 1, January 2002 Special issue: Rare event simulation

2001
Volume 11 Issue 4, October 2001
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Volume 11 Issue 1, Jan. 2001

2000
Volume 10 Issue 4, Oct. 2000
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Volume 10 Issue 2, April 2000 Special issue on modeling and simulation of communication networks
Volume 10 Issue 1, Jan. 2000

1999
Volume 9 Issue 4, Oct. 1999
Volume 9 Issue 3, July 1999
Volume 9 Issue 2, April 1999
Volume 9 Issue 1, Jan. 1999

1998
Volume 8 Issue 4, Oct. 1998 Special issue on Web-based modeling and simulation
Volume 8 Issue 3, July 1998
Volume 8 Issue 2, April 1998 Special issue on modeling and analysis of stochastic systems
Volume 8 Issue 1, Jan. 1998 Special issue on uniform random number generation

1997
Volume 7 Issue 4, Oct. 1997
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Volume 7 Issue 1, Jan. 1997

1996
Volume 6 Issue 4, Oct. 1996
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1995
Volume 5 Issue 4, Oct. 1995
Volume 5 Issue 3, July 1995 Special issue on graphics, animation, and visualization for simulation environments
Volume 5 Issue 2, April 1995
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1994
Volume 4 Issue 4, Oct. 1994
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Volume 4 Issue 1, Jan. 1994

1993
Volume 3 Issue 4, Oct. 1993
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Volume 3 Issue 1, Jan. 1993

1992
Volume 2 Issue 4, Oct. 1992
Volume 2 Issue 3, July 1992
Volume 2 Issue 2, April 1992
Volume 2 Issue 1, Jan. 1992

1991
Volume 1 Issue 4, Oct. 1991 Special issue on parallel and distributed systems performance
Volume 1 Issue 3, July 1991
Volume 1 Issue 2, April 1991
Volume 1 Issue 1, Jan. 1991
 
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