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Activity pre-scheduling for run-time optimization of grid workflows

机译:活动预调度,用于网格工作流的运行时优化

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The capability to support resource sharing between different organizations and high-level performance are noteworthy features of grid computing. Applications require significant design effort and complex coordination of resources to define, deploy and execute components on heterogeneous and often unknown resources. A common trend today aims at diffusing workflow management techniques to reduce the complexity of grid systems through model-driven approaches that significantly simplify application design through the composition of distributed services often belonging to different organizations. With this approach, the adoption of efficient workflow enactors becomes a key aspect to improve efficiency through run-time optimizations, so reducing the burden for the developer, who is only responsible of defining the functional aspects of complex applications since he/she has only to identify the activities that characterize the application and the causal relationships among them. This paper focuses on performance improvements of grid workflows by presenting a new pattern for workflow design that ensures activity pre-scheduling at run-time through a technique that generates fine-grained concurrency with a couple of concepts: asynchronous invocation of services and continuation of execution. The technique is implemented in a workflow enactment service that dynamically optimizes process execution with a very limited effort for application developer. (C) 2008 Elsevier B.V. All rights reserved.
机译:支持不同组织之间的资源共享和高水平性能的能力是网格计算的值得注意的功能。应用程序需要大量的设计工作和复杂的资源协调,才能在异构且通常未知的资源上定义,部署和执行组件。当今的共同趋势是通过模型驱动的方法来扩散工作流管理技术,以降低网格系统的复杂性,该方法通过通常属于不同组织的分布式服务的组合来显着简化应用程序设计。通过这种方法,采用有效的工作流执行器成为通过运行时优化提高效率的关键方面,因此减轻了开发人员的负担,因为开发人员仅负责定义复杂应用程序的功能方面,因为他/她仅需确定表征应用程序的活动及其之间的因果关系。本文通过提供一种新的工作流设计模式来致力于网格工作流的性能改进,该模式可通过一种产生细粒度并发的技术来确保在运行时对活动进行预先调度,该技术具有以下两个概念:服务的异步调用和执行的继续。该技术在工作流制定服务中实现,该服务为应用程序开发人员以非常有限的努力动态地优化了流程执行。 (C)2008 Elsevier B.V.保留所有权利。

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