Tashi:位置感知集群管理

M. Kozuch, Michael P. Ryan, Richard Gass, S. Schlosser, D. O'Hallaron, James Cipar, E. Krevat, J. C. López-Hernández, Michael Stroucken, G. Ganger
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引用次数: 70

摘要

大数据应用,那些需要大数据语料库来保证准确性或保真度的应用,正变得越来越普遍。Tashi是一个集群管理系统,专门为云计算应用程序在大数据存储库上运行而设计。这些应用程序具有极高的可扩展性,但也有非常高的资源需求。使这类应用程序运行良好的关键技术是位置感知。本文论证了位置感知应用程序的性能比那些没有位置感知的应用程序高出3-11倍,并描述了为Tashi开发的两种独立于存储系统提供位置感知的通用服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tashi: location-aware cluster management
Big Data applications, those that require large data corpora either for correctness or for fidelity, are becoming increasingly prevalent. Tashi is a cluster management system designed particularly for enabling cloud computing applications to operate on repositories of Big Data. These applications are extremely scalable but also have very high resource demands. A key technique for making such applications perform well is Location-Awareness. This paper demonstrates that location-aware applications can outperform those that are not location aware by factors of 3-11 and describes two general services developed for Tashi to provide location-awareness independently of the storage system.
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