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Scalable Software Practice Environments Featuring Automatic Provision and Configuration in the Cloud

机译:可扩展的软件练习环境,具有云中的自动配置和配置

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This paper describes an architecture to deploy scalable Software Practice Environments (SPE) to support the practice lessons that require computer resources that can be remotely accessed. The architecture enables (i) to dynamically and on-demand provision the required computing resources from different IaaS Cloud providers, (ii) to perform the automatic software configuration to satisfy the requirements of the practical lesson, (iii) to suspend and resume the virtual infrastructure in order to cut down costs during a course and (iv) to support different elasticity approaches in order to create scalable virtual infrastructures. The paper describes the proposed architecture and details a case study that involves deploying the virtual infrastructure of an online course on Cloud Computing with Amazon Web Services (AWS) on top of AWS itself. It also describes scalability approaches that can be employed to provide infrastructure access to SPEs for larger audiences, such as those found in MOOCs.
机译:本文介绍了部署可扩展软件练习环境(SPE)以支持需要远程访问计算机资源的练习课程的架构。该体系结构使(i)能够动态地和按需提供来自不同IAAS云提供商的所需计算资源,(ii)执行自动软件配置以满足实用课程的要求(iii)暂停和恢复虚拟基础设施为了在课程和(iv)期间降低成本,以支持不同的弹性方法,以便创建可扩展的虚拟基础架构。本文介绍了拟议的架构和细节一个案例研究,涉及在AWS本身的顶部将在线计算的网络课程中的虚拟基础设施部署在云计算(AWS)上。它还描述了可用于提供对更大受众的基础设施访问的可扩展性方法,例如MooC中的那些。

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