A Simulation Framework for Dependable Distributed Systems

C. Dobre, Florin Pop, V. Cristea
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引用次数: 14

Abstract

The use of discrete-event simulators in the design and development of distributed systems is appealing due to their efficiency and scalability. Their core abstractions of process and event map neatly to the components and interactions of modern-day distributed systems and allow designing realistic simulation scenarios. MONARC, a multi-threaded, process oriented simulation framework designed for modeling large scale distributed systems, allows the realistic simulation of a wide-range of distributed system technologies, with respect to their specific components and characteristics. In this paper we present an innovative solution to the problem of evaluating the dependability characteristic of distributed systems. Our solution is based on several proposed extensions to the simulation model of the MONARC simulation framework. These extensions refer to fault tolerance and system orchestration mechanisms being added in order to assess the reliability and availability of distributed systems. The extended simulation model includes the necessary components to describe various actual failure situations and provides the mechanisms to evaluate different strategies for replication and redundancy procedures, as well as security enforcement mechanisms.
可靠分布式系统仿真框架
离散事件模拟器由于其效率和可扩展性而在分布式系统的设计和开发中得到广泛应用。它们对过程和事件的核心抽象巧妙地映射到现代分布式系统的组件和交互,并允许设计现实的模拟场景。MONARC是一个多线程的、面向过程的仿真框架,设计用于对大规模分布式系统进行建模,允许对范围广泛的分布式系统技术进行真实的仿真,并考虑到它们的特定组件和特性。本文提出了一种新的分布式系统可靠性评估方法。我们的解决方案是基于对MONARC仿真框架的仿真模型提出的几个扩展。这些扩展指的是为了评估分布式系统的可靠性和可用性而添加的容错和系统编排机制。扩展的仿真模型包括描述各种实际故障情况所需的组件,并提供评估复制和冗余过程的不同策略的机制,以及安全强制机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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