A directory service for configuring high-performance distributed computations

Steven M. Fitzgerald, Ian T Foster, C. Kesselman, G. Laszewski, Warren Smith, S. Tuecke
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引用次数: 510

Abstract

High-performance execution in distributed computing environments often requires careful selection and configuration not only of computers, networks, and other resources but also of the protocols and algorithms used by applications. Selection and configuration in turn require access to accurate, up-to-date information on the structure and state of available resources. Unfortunately no standard mechanism exists for organizing or accessing such information. Consequently different tools and applications adopt ad hoc mechanisms, or they compromise their portability and performance by using default configurations. We propose a Metacomputing Directory Service that provides efficient and scalable access to diverse, dynamic, and distributed information about resource structure and state. We define an extensible data model to represent required information and present a scalable, high-performance, distributed implementation. The data representation and application programming interface are adopted from the Lightweight Directory Access Protocol; the data model and implementation are new. We use the Globus distributed computing toolkit to illustrate how this directory service enables the development of more flexible and efficient distributed computing services and applications.
用于配置高性能分布式计算的目录服务
分布式计算环境中的高性能执行通常不仅需要仔细选择和配置计算机、网络和其他资源,还需要仔细选择和配置应用程序使用的协议和算法。选择和配置反过来需要访问关于可用资源的结构和状态的准确的、最新的信息。不幸的是,目前还没有组织或访问此类信息的标准机制。因此,不同的工具和应用程序采用临时机制,或者通过使用默认配置来损害其可移植性和性能。我们提出了一个元计算目录服务,它提供了对资源结构和状态的各种动态和分布式信息的有效和可扩展的访问。我们定义了一个可扩展的数据模型来表示所需的信息,并提供一个可伸缩的、高性能的分布式实现。数据表示和应用程序编程接口采用轻量级目录访问协议;数据模型和实现是新的。我们使用Globus分布式计算工具包来说明此目录服务如何支持开发更灵活、更高效的分布式计算服务和应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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