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Distributed Simulation Performance Data Mining
, 2001
"... The performance of logical process based distributed simulation (DS) protocols like Time Warp and Chandy/Misra/Bryant is influenced by a variety of factors such as the event structure underlying in the simulation model, the partitioning into submodels, the performance characteristics of the executio ..."
Abstract
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Cited by 1 (1 self)
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The performance of logical process based distributed simulation (DS) protocols like Time Warp and Chandy/Misra/Bryant is influenced by a variety of factors such as the event structure underlying in the simulation model, the partitioning into submodels, the performance characteristics of the execution platform, the implementation of the simulation engine and optimizations related to the protocols. The mutual performance effects of parameters exhibit a prohibitively complex degree of interweaving, giving analytical performance investigations only relative importance. Nevertheless, performance analysis is of utmost practical interest for the simulationist who wants to decide on the suitability of a certain DS protocol for a specific simulation model before substantial efforts are invested in developing sophisticated DS codes. Since DS performance...
An Architecture for Externally Controllable Virtual Networks and its Evaluation on NYNET
"... ion with Cell-Level QOS Guarantees 24 Review of VP Control Algorithms 29 Realization of the Control System 30 Evaluation of the Control System 41 The High Performance Platform for Experimentation 45 The Platform 45 Building an Emulation Platform on the KSR-1 47 Porting the Emulation Platform from KS ..."
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ion with Cell-Level QOS Guarantees 24 Review of VP Control Algorithms 29 Realization of the Control System 30 Evaluation of the Control System 41 The High Performance Platform for Experimentation 45 The Platform 45 Building an Emulation Platform on the KSR-1 47 Porting the Emulation Platform from KSR-1 to SP-2 55 Prototyping the VPN Architecture 57 The Prototyping Approach 57 Design of the Emulation Platform 60 The Parallel Simulation Kernel 62 Emulation Objects 66 Emulation Support 69 Real-Time Visualization and Interaction 71 Discussion and Summary 83 Summary of Work Performed 83 Related Accomplishments 84 Future Work and Discussions 1 1 Introduction The goal of this work is to develop a communication architecture that allows for the creation of a virtual enterprise network for a geographically distributed large corporation. The enterprise network is made up of a private high-speed backbone and islands of private component networks connected using public broadband infrastructure (...
JAVA BASED CONSERVATIVE DISTRIBUTED SIMULATION
"... Distributed discrete event simulation techniques aim at an acceleration of the execution of a self-contained simulation model by the spatial decomposition of that model and the concurrent simulation of the submodels by so called logical processes (LPs), each executing on a dedicated node of a (close ..."
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Distributed discrete event simulation techniques aim at an acceleration of the execution of a self-contained simulation model by the spatial decomposition of that model and the concurrent simulation of the submodels by so called logical processes (LPs), each executing on a dedicated node of a (closed) multiprocessor system. The dedication of parallel simulators to specific platforms and their adaptation to the respective hardware and software intrinsics has widely preventend an industrial and/or commercial success of such high performance simulation methods. In this work we propose the building of logical prdcess simulators that use the World Wide Web as an execution platform. We have developed and implemented a Java-based simulation engine along the conservative Chandy/Misra/Bryant (CMB) synchronization protocol, allowing for a platform independent, scalable, and performance efficient distributed simulation model execution. Our simulation engine is open and general purpose in the sense that it can be reused in various simulation domains by simply “plugging in ” different simulation models, and simulation codes that, once written, can be executed anywhere (on the Internet). The potential performance improvement of Web-based distributed simulation is investigated in a sensitivity analysis conducted on a hypothetical simulation model executed in a Javaenabled workstation LAN. Even for very small simulation models, a speedup of about 3.5 could be attained on a 4 processor (heterogeneous) host LAN. 1

