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An architecture for distributing the computation of software clustering algorithms

机译:用于分发软件聚类算法的计算的体系结构

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Collections of general purpose networked workstations offer processing capability that often rivals or exceeds supercomputers. Since networked workstations are readily available in most organizations, they provide an economic and scalable alternative to parallel machines. The authors discuss how individual nodes in a computer network can be used as a collection of connected processing elements to improve the performance of a software engineering tool that we developed. Our tool, called Bunch, automatically clusters the structure of software systems into a hierarchy of subsystems. Clustering helps developers understand complex systems by providing them with high-level abstract (clustered) views of the software structure. The algorithms used by Bunch are computationally intensive and, hence, we would like to improve our tool's performance in order to cluster very large systems. The paper describes how we designed and implemented a distributed version of Bunch, which is useful for clustering large systems.
机译:通用网络工作站的集合提供的处理能力通常可以与超级计算机相匹敌或超越。由于大多数组织都可以使用网络工作站,因此它们为并行计算机提供了经济且可扩展的替代方案。作者讨论了如何将计算机网络中的各个节点用作连接的处理元素的集合,以改善我们开发的软件工程工具的性能。我们称为Bunch的工具会自动将软件系统的结构聚集成子系统的层次结构。群集通过为开发人员提供软件结构的高级抽象(群集)视图,可以帮助他们理解复杂的系统。 Bunch使用的算法需要大量的计算,因此,我们希望提高工具的性能,以便对非常大的系统进行集群。本文介绍了我们如何设计和实现Bunch的分布式版本,该版本对于集群大型系统很有用。

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