SIMUTOOLS 2009
QOSIM 2009SCENES 2009OMNET++ 2009

    SIMUTOOLS

    2nd International ICST Conference on Simulation Tools and Techniques

    SIMUTools 2009 is the Second International Conference on Simulation Tools and Techniques. This edition, which builds on the success of the first conference (168 participants from 31 countries), will focus on all aspects of simulation modeling and analysis. High quality papers are sought on simulati…

    SIMUTools 2009 is the Second International Conference on Simulation Tools and Techniques. This edition, which builds on the success of the first conference (168 participants from 31 countries), will focus on all aspects of simulation modeling and analysis. High quality papers are sought on simulation tools, methodologies, applications, and practices. The aim of the conference is to bring academic and industry researchers together with practitioners (from both the simulation community and from the numerous simulation user communities). The conference will address current and future trends in simulation techniques, models and practices, and foster interdisciplinary collaborative research in this area. While the main focus of the conference is on simulation tools, the conference also encourages the submission of broader theoretical and practical research contributions.

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    Editor(s): Olivier Dalle, Gabriel Wainer, Giovanni Stea and L. Felipe Perrone
    Publisher
    ICST
    ISBN
    978-963-9799-45-5
    Conference dates
    2nd–6th Mar 2009
    Location
    Rome, Italy
    Appeared in EUDL
    29th Nov 2011
    Appears in
    ACM Digital Library

    Copyright © 2011–2013 ICST

    • EpiNet: A Simulation Framework to Study the Spread of Malware in Wireless Networks

      Research Article in 2nd International ICST Conference on Simulation Tools and Techniques

      Karthik Channakeshava, Deepti Chafekar, Keith Bisset, V.S. Anil Kumar, Madhav Marathe

      Abstract
      We describe a modeling framework to study the spread of malware over realistic wireless networks. We develop (i) methods for generating synthetic, yet realistic wireless networks using activity-based…We describe a modeling framework to study the spread of malware over realistic wireless networks. We develop (i) methods for generating synthetic, yet realistic wireless networks using activity-based models of urban population mobility, and (ii) an interaction-based simulation framework to study the dynamics of worm propagation over wireless networks. We use the prototype framework to study how Bluetooth worms spread over realistic wireless networks. This required developing an abstract model of the Bluetooth worm and its within-host behavior. As an illustration of the applicability of our framework, and the utility of activity-based models, we compare the dynamics of Bluetooth worm epidemics over realistic wireless networks and networks generated using random waypoint mobility models. We show that realisticwireless networks exhibit very different structural properties. Importantly, these differences have significant qualitative effect on spatial as well as temporal dynamics of worm propagation. Our results also demonstrate the importance of early detection to control the epidemic.
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    • A Framework Model for DVEs using SIMUL8

      Research Article in 2nd International ICST Conference on Simulation Tools and Techniques

      Christos Bouras, Eri Giannaka, Thrasyvoulos Tsiatsos

      Abstract
      Distributed Virtual Environment systems simulate the behaviour and activities of a great number of users interacting in a virtual world over a wide area network. The sizes of the virtual worlds and t…Distributed Virtual Environment systems simulate the behaviour and activities of a great number of users interacting in a virtual world over a wide area network. The sizes of the virtual worlds and the tremendous number of users that DVEs are called to support require additional bandwidth and computational resources. For handling these growing requirements a lot of work has been done both to the direction of alternative architectural solutions as well as to techniques and algorithms for handling the limitations of these environments. For supporting large-scale DVEs, extended infrastructure is needed in terms of both hardware and software. However, both researchers and application designers do not always have access to such extended infrastructure and the assessment and evaluation of developed techniques becomes extremely difficult. To this direction, this paper presents a simulation modelling tool for networked servers DVEs that could be used by designers for simulating the performance of their approaches under different scenarios.
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    • Comparison of Network-on-Chip Topologies for Multicore Systems Considering Multicast and Local Traffic

      Research Article in 2nd International ICST Conference on Simulation Tools and Techniques

      Dietmar Tutsch, Miroslaw Malek

      Abstract
      Performance of two network-on-chip (NoC) topologies is compared for the use in multicore processors. The performance evaluation is supported by the CINSim simulator. This simulator has been developed…Performance of two network-on-chip (NoC) topologies is compared for the use in multicore processors. The performance evaluation is supported by the CINSim simulator. This simulator has been developed to model a variety of network topologies that are based on atomic components such as buffers, routers, traffic generators, and target buffers. The development of this simulator was driven by the investigation of networks-on-chip. But off-chip networks can be examined as well. Two examples for NoC topologies, a mesh and a bidirectional interconnection network, are compared. Unicast traffic is used as well as multicast and local traffic, which both represent a significant part of the network traffic for evaluating multicore processors. In addition to the performance, the mean distance, the diameter, and the buffer cost are calculated for both network topologies. The results show that bidirectional multistage interconnection networks outperform meshes. A clearly better scalability is shown by the bidirectional multistage interconnection networks.
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    • MetroSim: A Planning Tool for Metropolitan WiFi Networks

      Research Article in 2nd International ICST Conference on Simulation Tools and Techniques

      Gilberto A. Urueta, Christopher Thraves, Marcin Solarski, Pablo Vidales

      Abstract
      Massive growth of home wireless networking revives the opportunity to achieve citywide ubiquitous wireless access by building a WiFi overlay based on the principle of broadband sharing. This kind of …Massive growth of home wireless networking revives the opportunity to achieve citywide ubiquitous wireless access by building a WiFi overlay based on the principle of broadband sharing. This kind of large-scale overlay network poses new challenges for wireless network planning. In this scenario, the number of possible locations to install public hotspots is larger, by order of magnitude, to those managed by existing WiFi planning tools. Moreover, dynamics due to a loose control on the WiFi hotspots (as routers are not 100% controlled by the operator, but by the router owner) means hard constraints on the flexibility of the deployment. This paper describes MetroSim: a novel planning tool to drive the deployment of metropolitan WiFi networks based on enabling safe and controlled broadband sharing. MetroSim considers the aforementioned challenges in its design and implementation, as it has been developed specially to help planning this type large-scale metropolitan WiFi overlay networks.
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    • When, and When Not to Use Warm-up Periods in Discrete Event Simulation

      Research Article in 2nd International ICST Conference on Simulation Tools and Techniques

      Winfried K. Grassmann

      Abstract
      This paper demonstrates, both theoretically and by using numerical examples, that if one has good starting states, one should not use warmup periods in discrete event simulation when estimating equil…This paper demonstrates, both theoretically and by using numerical examples, that if one has good starting states, one should not use warmup periods in discrete event simulation when estimating equilibrium expectations by means of time averages. The numerical methods used are deterministic, and they are based on randomization or uniformization. We also show that if estimating expectations of sums by simulation, good starting states are sometimes diffcult to fnd and are often inconvenient, which justifes warmup periods.
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