The Kangaroo approach to data movement on the Grid

The Kangaroo approach to data movement on the Grid
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网格上数据移动的袋鼠方法

DOI:
10.1109/hpdc.2001.945200
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发表时间:
2001
期刊:
Proceedings 10th IEEE International Symposium on High Performance Distributed Computing
影响因子:
--
通讯作者:
M. Livny
M. Livny
中科院分区:
--
文献类型:
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作者:
D. Thain;J. Basney;Se;M. Livny

文献摘要

被引文献

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访问远程数据是网格计算面临的主要挑战之一。在执行I/O时,网格应用程序必须为服务器崩溃、性能变化和资源耗尽做好准备。为了在这种恶劣的环境中实现高吞吐量,应用程序需要一种弹性服务来移动数据,同时隐藏错误和延迟。我们用袋鼠来说明这个想法,这是一个简单的数据移动系统,它巧妙地利用磁盘和网络来保持应用程序的运行。我们演示了袋鼠可以获得比传统数据移动技术更好的端到端性能,即使它的单个组件没有达到高性能。
Access to remote data is one of the principal challenges of Grid computing. While performing I/O, Grid applications must be prepared for server crashes, performance variations and exhausted resources. To achieve high throughput in such a hostile environment, applications need a resilient service that moves data while hiding errors and latencies. We illustrate this idea with Kangaroo, a simple data movement system that makes opportunistic use of disks and networks to keep applications running. We demonstrate that Kangaroo can achieve better end-to-end performance than traditional data movement techniques, even though its individual components do not achieve high performance.