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An availability model for MIN-based multiprocessors

机译:基于MIN的多处理器的可用性模型

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System decomposition is a novel technique for modeling the dependability of complex systems without constructing a single-level Markov Chain (MC). This is demonstrated in this paper for the availability computation of a class of multiprocessors that uses 4*4 switching elements for the multistage interconnection network (MIN). The availability model is known as task-based availability, where a system is considered operational as long as the task requirements are satisfied. The authors develop two simple MC's for the processors and memories and solve them using a software package, called HARP. The probabilities of i processing elements (PE's) and j memory modules (MM's) working at any time t, denoted as Pi(t) and Pj(t), are obtained from their corresponding MC's. The effect of the MIN is captured in the model by finding the number of switches required for the connection of i PE's and j MM's. A third MC is then developed for the switches to find the probability that the MIN provides the required (i*j) connection. Multiplying this term with Pi(t) and Pj(t), the probability of an (i*j) working group is obtained. The methodology is generalized to model arbitrary as well as larger size systems. Transient and steady state availabilities are computed for a variety of MIN configurations and the results are validated through simulation.
机译:系统分解是一种无需构建单级马尔可夫链(MC)即可对复杂系统的可靠性进行建模的新颖技术。本文在使用多级互连网络(MIN)使用4 * 4交换元件的一类多处理器的可用性计算中对此进行了演示。可用性模型称为基于任务的可用性,其中只要满足任务要求,系统就被视为可运行。作者为处理器和存储器开发了两个简单的MC,并使用称为HARP的软件包来解决它们。从它们相应的MC获得在任意时刻t工作的i个处理元件(PE)和j个存储模块(MM)的概率,分别表示为Pi(t)和Pj(t)。通过查找i PE和j MM连接所需的开关数量,可在模型中捕获MIN的影响。然后为交换机开发第三个MC,以找到MIN提供所需(i * j)连接的可能性。将此项与Pi(t)和Pj(t)相乘,即可得出(i * j)工作组的概率。该方法被通用化以对任意以及更大尺寸的系统进行建模。计算各种MIN配置的瞬态和稳态可用性,并通过仿真验证结果。

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