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A SOA-Based Environment Supporting Collaborative Experiments in E-Science

机译:基于SOA的环境,支持电子科学中的协作实验

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摘要

Many sophisticated environments allow creating and managing of scientific workflows, whereas the workflow itself is provided as a service. Scientific Grids handle large amounts of data and share resources, but the implementation of service-based applications that use scientific infrastructures remains a challenging task, due to the heterogeneity of Grid middleware and different programming models. This paper proposes an e-Science environment providing functionality in a simplified way, considering the Grid as a source of computational power and an information infrastructure. To promote integration among components and user interaction, the paper outlines a SOA-based scientific environment where an experiment is modeled through an abstract workflow defining the functional model of the experiment. The tasks are mapped to the corresponding scientific services by a workflow engine, separating logical aspects from implementation issues. Services depend on the type of experiment and can be re-used, wrapped, or moved into a new workflow. Infrastructural services discover suitable resources that match user requirements and schedule workflow tasks. Further, they monitor the execution of each task and aggregate the results. The proposed approach provides a simple-to-use and standardized way for the deployment of scientific workflows in a distributed scientific environment, including the Grid.
机译:许多复杂的环境允许创建和管理科学工作流,而工作流本身是作为服务提供的。科学网格处理大量数据并共享资源,但是由于网格中间件和不同编程模型的异质性,使用科学基础架构的基于服务的应用程序的实现仍然是一项艰巨的任务。本文提出了一种以简化方式提供功能的电子科学环境,将网格视为计算能力和信息基础设施的来源。为了促进组件之间的集成以及用户交互,本文概述了基于SOA的科学环境,其中通过定义工作功能模型的抽象工作流对实验进行建模。工作流引擎将任务映射到相应的科学服务,从而将逻辑方面与实现问题分开。服务取决于实验的类型,可以重复使用,包装或移入新的工作流程。基础设施服务会发现符合用户要求的合适资源,并安排工作流程任务。此外,他们监视每个任务的执行并汇总结果。所提出的方法为在分布式科学环境(包括网格)中部署科学工作流提供了一种易于使用的标准化方法。

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