PIVOT: An adaptive information discovery framework for computational grids
PIVOT: An adaptive information discovery framework for computational grids
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DOI：
10.1016/j.ins.2010.07.022
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
Guiyi Wei;Y. Ling;A. Vasilakos;Bin Xiao;Yao Zheng
中科院分区：
文献类型：
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作者：
Guiyi Wei;Y. Ling;A. Vasilakos;Bin Xiao;Yao Zheng
在传统的计算网格环境中，资源的所有者通常通过预先配置的信息服务或Web服务提供有关其资源的信息。然而，这样的信息是不够的，在高性能的分布式计算的调度。为了解决这个问题，我们提出了一个可扩展的网格信息服务框架，称为PIVOT（自适应信息发现框架计算网格）。通过使用截止日期受限的泛洪收集器分发和类似P2P的信息收集方案，PIVOT提供了一种主动机制来收集特定于应用程序的资源信息。具体而言，PIVOT为特定于应用的服务器提供资源信息服务。两种新的分布式协作算法保证了在信息发现过程中对开销流量和通信延迟的尽力而为性能。在模拟和真实的计算网格平台上的实验结果表明，PIVOT对特定应用的资源信息发现具有很高的适应性，提高了传统信息服务中资源分配的准确性和并行任务的执行效率。
In a traditional computational grid environment, the owners of resources usually provide information about their resources extracted by pre-configured information services or web services. However, such information is not sufficient for the scheduler in the high-performance distributed computing. To solve this problem, we propose a scalable grid information service framework, named PIVOT (adaPtive Information discoVery framewOrk for compuTational grid). By using deadline-constrained flooding collector dissemination and P2P-like information collection schemes, PIVOT provides an active mechanism to collect application-specific resource information. In particular, PIVOT provides a resource information service for application-specific schedulers. The best-effort performance on overhead traffic and communication latency during information discovery is guaranteed by two new distributed cooperative algorithms. The experimental results in the simulations and real computational grid platform demonstrate that PIVOT has a high level of adaptability for application-specific resource information discovery, and also improves the accuracy of resource allocation and the efficiency of executing parallel tasks in traditional information services.