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Scalability in Distributed Systems, Parallel Systems and Supercomputers

机译:分布式系统,并行系统和超级计算机的可伸缩性

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With the dramatic improvement in communications, the trend is to move from specialised machines (supercomputers) that are optimised for one specific application and used by a single user [16,20] to general-purpose, high-performance machines that perform reasonably well on a variety of applications [17,21]. These machines are based on powerful processors interconnected by a high bandwidth interconnection (e.g. Fiber-Channel, Hippi) which are available. As a result our view of distributed systems, parallel systems and even supercomputers converges and it becomes possible to look at some issues in a unified manner. In this paper scalability is addressed and design principles are suggested to meet the scalability goal. Usage of these principles is demonstrated with a server selection (trading) service. Adaptive partitioning is advocated as a key design principle for scalability and is compared to the same service provided using other partitioning techniques.
机译:随着通信的显着改善,趋势是从针对一种特定应用进行了优化并由单个用户使用的专用机器(超级计算机)[16,20]转变为在以下各项上性能相当不错的通用,高性能机器:各种应用[17,21]。这些机器基于通过可用的高带宽互连(例如,光纤通道,嬉皮)互连的强大处理器。结果,我们对分布式系统,并行系统乃至超级计算机的观点融合在一起,并且有可能以统一的方式研究某些问题。本文讨论了可伸缩性,并提出了设计原则以实现可伸缩性目标。服务器选择(交易)服务演示了这些原理的用法。提倡自适应分区是可伸缩性的关键设计原则,并将其与使用其他分区技术提供的相同服务进行比较。

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