基于模型的云平台对科学工作流的支持

M. Malawski, B. Baliś, Kamil Figiela, Maciej Pawlik, M. Bubak
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引用次数: 1

摘要

HyperFlow是一个工作流引擎,可以在可用的计算资源(例如云中的虚拟机)上执行科学工作流的任务。PaaSage是一个基于模型的云平台,用于提供资源、部署应用程序并根据应用程序需求自动扩展它们。其中一个挑战是设计HyperFlow中特定于应用程序的工作流调度器与PaaSage的通用配置和自动伸缩组件之间的交互机制。在这里,我们报告了HyperFlow应用程序与PaaSage集成的最新进展,概述了提出的解决方案的体系结构,介绍了应用程序的CAMEL模型和原型状态。主要结论是,由于PaaSage提出的基于模型的方法,使工作流应用程序模块化并使其组件易于跨多个云部署成为可能。
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Support for Scientific Workflows in a Model-Based Cloud Platform
HyperFlow is a workflow engine that enables to execute tasks of scientific workflows on the available computing resources (e.g. Virtual Machines in a cloud). PaaSage is a model-based cloud platform to provision resources, deploy the application and automatically scale them according to the application demands. One of the challenges is to design the interplay mechanism between the application-specific workflow scheduler in HyperFlow with the generic provisioning and autoscaling components of PaaSage in a generic way. Here we report on our current developments in integrating HyperFlow applications with PaaSage, outline the architecture of the proposed solution, present the CAMEL model of the application and the prototype status. The main conclusion is that thanks to the model-based approach proposed by PaaSage it is possible to modularize the workflow application and make its components easily deployable across multiple clouds.
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