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2000
ABSTRACT Despite of even higher performance computers, quantitative steady-state simulation of even a moderate complex system takes very long time. There is always a necessity of efficient procedures that can control the run length of stochastic simulation experiments. This paper compares two sequential batching-based procedures for estimating steadystate mean under Multiple Replications in Parallel.
2000 •
Statistical techniques are extremely useful in system performance evaluation. Since any statistic cannot be guaranteed to give a close estimate for every sample, we must design statistics that will give good results on the average or in the long run. Despite of even higher performance computers, quantitative steady-state simulation of even a moderate complex system takes very long time, since to obtain reasonably stable results, that is, estimates with reasonably variances, very larges samples are usually necessary.
Proceedings of the High Performance Computing …
Experience with Akaroa: speeding up stochastic simulation using parallel replications1998 •
Stochastic simulation is an invaluable tool for studying dynamic stochastic processes but, unfortunately, simulation of even moderately complex systems, especially in studies of their steady-state behaviour, often becomes computationally intensive and can require very long runs in order to obtain the required precision of final results. In this paper a package for parallel steady-state stochastic simulation is presented that was designed to overcome problems caused by long simulation times, while maintaining basic statistical rigours of proper analysis of simulation output data experienced in our on-going research in performance evaluation of high-speed and integrated-services communication networks. The package, named AKAROA (a simulation package for automatic generation and control of processes for parallel stochastic simulation) accepts ordinary (non-parallel) simulation programs, and all further stages of stochastic simulation should be transparent for users. The package employs a new method of sequential estimation in Multiple-Replication-in-Parallel scenario. All basic functions, including parallelisation of originally non-parallel simulators, control precision of estimates and stopping parallel simulation processes when the required precision of overall steady-state estimates is achieved is automated. It can be used on multiprocessor systems and/or heterogeneous computer networks, involving an arbitrary numbers of processors. The results of initial performance studies of AKAROA are also presented.
IEEE Communications …
Parallel Simulation Techniques for Large Scale Networks Sandeep Bhatt, Richard Fujimoto, Andy Ogielski, Kalyan Perumalla1998 •
Simulation has always been an indispensable tool in the design and analysis of telecommunication networks. Due to performance limitations of the majority of simulators, usually network simulations have been done for rather small network models and for short time scales. In contrast, ...
11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003.
Large-scale network simulation: how big? how fast?2003 •
Parallel and distributed simulation tools are emerging that offer the ability to perform detailed, packet-level simulations of large-scale computer networks on an unprecedented scale. The state-of-the-art in large-scale network simulation is characterized quantitatively. For this purpose, a metric based on the number of Packet Transmissions that can be processed by a simulator per Second of wallclock time (PTS) is used
… on Modeling and Computer Simulation ( …
Analysis of parallel replicated simulations under a completion time constraint1991 •
… Proceedings, 2000. Winter
A perspective of batching methods in a simulation environment of multiple replications in parallel2000 •
"Discrete event simulation is frequently time-consuming either because modern dynamic systems, such as telecommunication networks, are becoming increasingly complex and/or a great number of observations is required to yield reasonably accurate results. An interesting approach to reduce the time duration of simulation is that of concurrently running multiple replications in parallel (MRIP) on a number of processors connected via networking and averaging the results adequately. We present the results of our research on the suitability of batch-means-based procedures in such distributed stochastic simulation."
2008 13th Asia-Pacific Computer Systems Architecture Conference
Quality improvement of sequential steady-state simulations for telecommunication networks2008 •
المجلة العلمیة للتربیة البدنیة وعلوم الریاضة. جامعة حلوان
فاعلیة برنامج للألعاب الصغیرة على مستوى السلوک الصحی لدى الطلاب البدناءبالحلقة الثانیة من التعلیم الابتدائی2018 •
2008 •
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