面向大规模分布式系统的可扩展仿真

C. Dobre, Florin Pop, V. Cristea
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引用次数: 1

摘要

建模和仿真领域长期以来被视为开发新算法和技术的可行替代方案,并使大规模分布式系统的开发成为可能,在这些系统中,由于遇到的问题的性质,分析验证是禁止的。离散事件模拟器由于其效率和可扩展性,在大型分布式系统的设计和开发中具有很大的吸引力。在本文中,我们关注的是如何实现应用程序、中间件、资源和网络的可扩展的、高层次的在线模拟,以支持对网格和P2P应用程序和环境的科学和系统的研究。我们描述了设计和实现用于验证分布式系统的模拟器的替代方案,特别是网格和p2p。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Scalable Simulation of Large Scale Distributed Systems
The field of modeling and simulation was long-time seen as a viable alternative to develop new algorithms and technologies and to enable the development of large-scale distributed systems, where analytical validations are prohibited by the nature of the encountered problems. The use of discrete-event simulators in the design and development of large scale distributed systems is appealing due to their efficiency and scalability. In this paper we focus on the challenge to enable scalable, high-level, online simulation of applications, middleware, resources and networks to support scientific and systematic study of Grid and P2P applications and environments. We describe alternatives to designing and implementing simulators to be used in the validation of distributed systems, particularly Grid and P2Ps.
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