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Components and workflow based Grid programming environment for integrated image-processing applications

机译:用于集成图像处理应用程序的基于组件和工作流的Grid编程环境

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With the development of high-performance computing technologies, Grid computing has emerged as a new infrastructure for applications with resource integration. However, some obstacles for the prevalence of Grid and Grid application developments are still to be overcome, which is largely due to the immature Grid-enabled computing environment and its geographically distributed and non-centralized administrative nature. In order to improve the situation and support Grid applications, a powerful Grid system is proposed as an efficient solution, which enables components and workflow support for loosely coupled and geographically distributed components on a Grid. An image-processing Grid is a project aiming at providing an efficient programming environment. In this paper, we discuss the infrastructure of the integrated environment, a flexible and useful workflow mechanism, a dynamic resource-scheduling strategy to achieve multiple image-processing operations, and an easy-to-use Web portal. In the system, components and workflow techniques provide the benefits of flexibility, reusability and scalability, so that even the unskilled user can easily specify the processing of complex, cooperative applications without knowledge of underlying Grid platform configuration details.
机译:随着高性能计算技术的发展,网格计算已成为具有资源集成的应用程序的新基础架构。但是,仍然需要克服Grid和Grid应用程序开发的普遍性方面的一些障碍,这在很大程度上是由于未启用Grid的计算环境及其地理分布和非集中式的管理性质。为了改善情况并支持Grid应用程序,提出了功能强大的Grid系统作为有效解决方案,它可以为Grid上的松散耦合和地理分布的组件提供组件和工作流支持。图像处理网格是旨在提供有效编程环境的项目。在本文中,我们讨论了集成环境的基础结构,灵活且有用的工作流机制,实现多个图像处理操作的动态资源调度策略以及易于使用的Web门户。在系统中,组件和工作流技术提供了灵活性,可重用性和可伸缩性的好处,因此,即使是不熟练的用户也可以轻松地指定复杂的协作应用程序的处理,而无需了解底层Grid平台配置详细信息。

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