A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok
A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok
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DOI：
10.1016/s0167-739x(02)00085-7
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发表时间：
2001-11
期刊：
影响因子：
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通讯作者：
D. Abramson;R. Buyya;J. Giddy
中科院分区：
文献类型：
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作者：
D. Abramson;R. Buyya;J. Giddy
计算网格结合了地理上分布的资源，如pc、工作站、集群和科学仪器，已经作为下一代计算平台出现，用于解决科学、工程和商业中的大规模问题。然而，这些环境中的应用程序开发、资源管理和调度仍然是一项复杂的工作。在本文中，我们讨论了我们在开发资源管理系统方面所做的努力，该系统用于调度分布在世界各地的具有不同服务质量（QoS）的资源的计算。我们的面向服务的网格计算系统Nimrod-G管理与远程执行相关的所有操作，包括资源发现、交易、基于经济原则和用户定义的QoS要求的调度。Nimrod-G资源代理通过利用Globus等现有技术来实现，并提供了构建工业强度网格所必需的新服务。我们介绍了使用Nimrod-G资源代理在跨越五大洲的全球网格（WWG）资源上调度参数计算的实验结果。
Computational grids that couple geographically distributed resources such as PCs, workstations, clusters, and scientific instruments, have emerged as a next generation computing platform for solving large-scale problems in science, engineering, and commerce. However, application development, resource management, and scheduling in these environments continue to be a complex undertaking. In this article, we discuss our efforts in developing a resource management system for scheduling computations on resources distributed across the world with varying quality of service (QoS). Our service-oriented grid computing system called Nimrod-G manages all operations associated with remote execution including resource discovery, trading, scheduling based on economic principles and a user-defined QoS requirement. The Nimrod-G resource broker is implemented by leveraging existing technologies such as Globus, and provides new services that are essential for constructing industrial-strength grids. We present the results of experiments using the Nimrod-G resource broker for scheduling parametric computations on the World Wide Grid (WWG) resources that span five continents.