The Experts below are selected from a list of 38844 Experts worldwide ranked by ideXlab platform
Andras Varga - One of the best experts on this subject based on the ideXlab platform.
-
the omnet Discrete Event Simulation system
2003Co-Authors: Andras VargaAbstract:The paper introduces OMNeT++, a C++-based Discrete Event Simulation package primarily targeted at simulating computer networks and other distributed systems. OMNeT++ is fully programmable and modular, and it was designed from the ground up to support modeling very large networks built from reusable model components. Large emphasis was placed also on easy traceability and debuggability of Simulation models: one can execute the Simulation under a powerful graphical user interface, which makes the internals of a Simulation model fully visible to the person running the Simulation: it displays the network graphics, animates the message flow and lets the user peek into objects and variables within the model. These features make OMNeT++ a good candidate for both research and educational purposes. The OMNeT++ Simulation engine can be easily embedded into larger applications. OMNeT++ is opensource, free for non-profit use, and it has a fairly large user
-
using the omnet Discrete Event Simulation system in education
IEEE Transactions on Education, 1999Co-Authors: Andras VargaAbstract:The intent of this paper is to contribute to the teaching of computer networks, parallel and distributed systems and Discrete Event Simulation by presenting a Simulation system that is ideally suited for educational use. OMNeT++ is a C++-based Discrete Event simulator which uses the process-interaction approach. An OMNeT++ model consists of modules communicating by message passing. Modules can be arbitrarily nested. Model topology is specified by a topology description language which supports separation of interface and functionality and facilitates model reuse. One of the strengths of OMNeT++ is that one can execute the Simulation under a powerful graphical user interface. The GUI makes the internals of a Simulation model fully visible to the person running the Simulation: it displays the network graphics, animates the message flow and lets the user peek into objects and variables within the model. The use of the tracing/debugging capabilities does not require extra code to be written by the Simulation programmer. The combination of these features make OMNeT++ a good choice for use in the education. OMNeT++ is open-source and free for non-profit use. The CD-ROM contains the full source distribution, the manual in HTML format, and a Win95/NT executable with several sample Simulation models and their sources.
Arturo Azcorra - One of the best experts on this subject based on the ideXlab platform.
-
simmer Discrete Event Simulation for r
Journal of Statistical Software, 2019Co-Authors: Inaki Ucar, Bart Smeets, Arturo AzcorraAbstract:The simmer package brings Discrete-Event Simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast Simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API (application programming interface) that revolves around the concept of trajectory, a common path in the Simulation model for entities of the same type.
-
simmer Discrete Event Simulation for r
arXiv: Computation, 2017Co-Authors: Inaki Ucar, Bart Smeets, Arturo AzcorraAbstract:The simmer package brings Discrete-Event Simulation to R. It is designed as a generic yet powerful process-oriented framework. The architecture encloses a robust and fast Simulation core written in C++ with automatic monitoring capabilities. It provides a rich and flexible R API that revolves around the concept of trajectory, a common path in the Simulation model for entities of the same type.
Gabriel Wainer - One of the best experts on this subject based on the ideXlab platform.
-
synchronization methods in parallel and distributed Discrete Event Simulation
Simulation Modelling Practice and Theory, 2013Co-Authors: Shafagh Jafer, Qi Liu, Gabriel WainerAbstract:Abstract This work attempts to provide insight into the problem of executing Discrete Event Simulation in a distributed fashion. The article serves as the state of the art in Parallel Discrete-Event Simulation (PDES) by surveying existing algorithms and analyzing the merits and drawbacks of various techniques. We discuss the main characteristics of existing synchronization methods for parallel and distributed Discrete Event Simulation. The two major categories of synchronization protocols, namely conservative and optimistic, are introduced and various approaches within each category are presented. We also present the latest efforts towards PDES on emerging platforms such as heterogeneous multicore processors, Web services, as well as Grid and Cloud environment.
Jankovic Marija - One of the best experts on this subject based on the ideXlab platform.
-
A Discrete-Event Simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization
'Cambridge University Press (CUP)', 2020Co-Authors: Yuskevich Ilya, Hein A., Amokrane-ferka Kahina, Doufene Abdelkrim, Jankovic MarijaAbstract:The latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the Discrete-Event Simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project
-
A Discrete-Event Simulation model for driver performance assessment: application to autonomous vehicle cockpit design optimization
'Cambridge University Press (CUP)', 2020Co-Authors: Yuskevich Ilya, Hein A., Amokrane-ferka Kahina, Doufene Abdelkrim, Jankovic MarijaAbstract:International audienceThe latest advances in the design of vehicles with the adaptive level of automation pose new challenges in the vehicle-driver interaction. Safety requirements underline the need to explore optimal cockpit architectures with regard to driver cognitive and perceptual workload, eyes-off-the-road time and situation awareness. We propose to integrate existing task analysis approaches into system architecture evaluation for the early-stage design optimization. We built the Discrete-Event Simulation tool and applied it within the multi-sensory (sight, sound, touch) cockpit design industrial project
Jo Johansso - One of the best experts on this subject based on the ideXlab platform.
-
input data management methodology for Discrete Event Simulation
Winter Simulation Conference, 2009Co-Authors: Nils Engtsso, Anders Skoogh, Jo Johansso, Guodong Shao, Tina Y Lee, Swee Leong, Charles R McleaAbstract:Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. In this paper, a methodology for IDM in DES projects is described. The approach is to use a methodology to identify and collect data, then use an IDM software to extract and process the data. The IDM software will structure and present the data in Core Manufacturing Simulation Data (CMSD) format, which is aimed to be a standard data format for any DES software. The IDM methodology was previously developed and tested by Chalmers University of Technology in a case study in the automotive industry. This paper presents a second test implementation in a project at the National Institute of Standards and Technology (NIST) in collaboration with an aerospace industry partner.
-
a methodology for input data management in Discrete Event Simulation projects
Winter Simulation Conference, 2008Co-Authors: Anders Skoogh, Jo JohanssoAbstract:Discrete Event Simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive amount of time. To secure quality and increase rapidity in DES projects, there are well structured methodologies to follow, but a detailed guideline for how to perform the crucial process of handling input data, is missing. This paper presents such a structured methodology, including description of 13 activities and their internal connections. Having this kind of methodology available, our hypothesis is that the structured way to work increases rapidity for input data management and, consequently, also for entire DES projects. The improvement is expected to be larger in companies with low or medium experience in DES.
