Multi-Scale Integrated Information and Telecommunications System (MIITS): First Results from a Large-Scale End-to-End Network Simulator

Waupotitsch,; Eidenbenz,; Smith, Stephen L.; Kroc,

doi:10.1109/wsc.2006.323013

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…Waupotitsch et al [7] present an approach for integrated wired and wireless network simulation, focused on simulating end-to-end population communication. This network simulation is based on the multiscale integrated information and telecommunications system (MIITS), which is a part of the urban infrastructure suite (UIS).…”

Section: Background and Related Workmentioning

confidence: 99%

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

Adepetu

Arnautovic²,

Svetinovic³

et al. 2014

IEEE Trans. Syst. Man Cybern, Syst.

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Abstract-A modern and efficient information and communication technology (ICT) infrastructure is essential for managing the challenges in the complex urban systems development. The ICT infrastructure is a complex system consisting of many subsystems and interconnections, which makes the process of planning, designing, and maintaining a comprehensive ICT infrastructure expensive and difficult. Most approaches used for the ICT infrastructure modeling focus typically on a single ICT system, for example, a wireless network. This paper presents a systems modeling approach based on integrating different subsystems and their characteristics into a single model, applying system decomposition, establishing the logical relations between system components, and defining relevant key performance indicators. It is shown that this systems modeling approach facilitates holistic planning, design, and evaluation of the complex ICT infrastructure for a sustainable city. This is demonstrated in the form of a two-scenario Masdar city case study. The case study exhibits the practicality of the derived ICT model and the feasibility of the results.Index Terms-Complex urban systems, information and communication technology (ICT) infrastructure, sustainable development, systems modeling.

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Section: Background and Related Workmentioning

confidence: 99%

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

Adepetu

Arnautovic²,

Svetinovic³

et al. 2014

IEEE Trans. Syst. Man Cybern, Syst.

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“…Li et al [32] observe engineered systems, such as the Internet, are optimized for performance, and cannot be realistically modeled by simplified stochastic models; they suggest the need for a first principles based approach that takes such constraints into consideration. In work predating this paper, Barrett et al [11] (and more recently, in [4]) developed TRANSIMS, which is an agent based methodology for urban population and road transportation, using principles similar to these, and extend it to AdHopNet [10] (now called MIITS [46]) for modeling wireless network traffic. The paper by Kroc et al [30] (which reports a component of AdHopNet/MIITS) is the closest to our paper, and also develops a model for network traffic.…”

Section: Related Workmentioning

confidence: 99%

Integrated Multi-Network Modeling Environment for Spectrum Management

Beckman

Channakeshava

Huang

et al. 2013

IEEE J. Select. Areas Commun.

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We describe a first principles based integrated modeling environment to study urban socio-communication networks which represent not just the physical cellular communication network, but also urban populations carrying digital devices interacting with the cellular network. The modeling environment is designed specifically to understand spectrum demand and dynamic cellular network traffic. One of its key features is its ability to support individual-based models at highly resolved spatial and temporal scales.We have instantiated the modeling environment by developing detailed models of population mobility, device ownership, calling patterns and call network. By composing these models using an appropriate in-built workflow, we obtain an integrated model that represents a dynamic socio-communication network for an entire urban region. In contrast with earlier papers that typically use proprietary data, these models use open source and commercial data sets.The dynamic model represents for a normative day, every individual in an entire region, with detailed demographics, a minute-by-minute schedule of each person's activities, the locations where these activities take place, and calling behavior of every individual. As an illustration of the applicability of the modeling environment, we have developed such a dynamic model for Portland, Oregon comprising of approximately 1.6 million individuals. We highlight the unique features of the models and the modeling environment by describing three realistic case studies.Index Terms-Socially-coupled networks, synthetic information, behavioral and social modeling, cellular and wireless networks, dynamic spectrum.

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“…• MIITS (Multi-Scale Integrated Information and Telecommunications System), introduced in (Waupotitsch et al, 2006) • ActivitySim, introduced in ) is another SimCore module, that implements agentbased models combining traditional agent technology from the artificial intelligence community and numerical methods for activity schedule calculations. The simulation entities in ActivitySim are individuals and locations; generic agent classes are used to implement entities with intelligent behavior.…”

Section: Simcore Applicationsmentioning

confidence: 99%

SimCore: A Library for Rapid Development of Large Scale Parallel Simulations

Thulasidasan

Kroc

Eidenbenz

2012

Proceedings of the 2nd International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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Abstract:We present the SimCore parallel simulation library, an object-oriented framework for developing parallel distributed discrete-event simulation applications, implemented in C++ with a Python front-end. SimCore is designed to scale to thousands of processors but is simple enough to use for application programmers, an outcome of its fast C++ core and message passing routines integrated with the full expressive power of Python. We discuss the design philosophy of SimCore including the software architecture and the C++/Python interface implementation that allows applications to be written in pure Python or a hybrid of Python and C++ or even pure C++. We also provide real world examples of the scalability and briefly describe a few diverse applications that have been deployed using SimCore.

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Multi-Scale Integrated Information and Telecommunications System (MIITS): First Results from a Large-Scale End-to-End Network Simulator

Cited by 15 publications

References 7 publications

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

Complex Urban Systems ICT Infrastructure Modeling: A Sustainable City Case Study

Integrated Multi-Network Modeling Environment for Spectrum Management

SimCore: A Library for Rapid Development of Large Scale Parallel Simulations

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