Private Cloud Collaboration Framework for e-Learning Environment for Disaster Recovery Using Smartphone Alert Notification
Private Cloud Collaboration Framework for e-Learning Environment for Disaster Recovery Using Smartphone Alert Notification
复制标题
使用智能手机警报通知进行灾难恢复的电子学习环境的私有云协作框架
DOI：
10.1007/978-3-319-07863-2_13
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Satoshi Togawa and Kazuhide Kanenishi
中科院分区：
文献类型：
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作者：
Satoshi Togawa and Kazuhide Kanenishi
在这项研究中，我们为电子学习环境构建了一个灾难恢复框架，例如抵御地震和海啸灾难。我们构建了一个基于IaaS架构的原型系统，这个原型系统是由多个私有云计算结构构建的。这些私有云结构旨在在 VPN 连接下运行一个大型私有云结构。分布式存储系统构建在每个私有云结构之上；其处理方式几乎与相同的块设备（例如一个文件系统）一样。为了让 LMS（学习管理系统）正常工作，我们需要启动虚拟机。虚拟机从存储在分布式存储系统中的虚拟磁盘映像启动。当某些私有云结构因灾难而无法工作时，分布式存储系统将能够作为一个大型文件系统继续运行。地震预警等灾害警报可以通过普通智能手机捕捉到。我们通过捕获灾难警报通知来控制虚拟机状态和虚拟机在私有云结构上的定位。我们认为我们的私有云协作框架可以在灾后情况下继续为电子学习环境工作。在本文中，我们展示了我们的私有云协作框架和原型配置的实验结果。
In this research, we have built a framework of disaster recovery such as against earthquake and tsunami disaster for e-Learning environment. We build a prototype system based on IaaS architecture, and this prototype system is constructed by several private cloud computing fabrics. These private cloud fabrics are constructed to operate one large private cloud fabric under the VPN connection. The distributed storage system builds on each private cloud fabric; that is handled almost like same block device such as one file system. For LMS (Learning Management System) to work, we need to boot virtual machines. The virtual machines are booted from the virtual disk images that are stored into the distributed storage system. The distributed storage system will be able to keep running as one large file system when some private cloud fabric does not work by any disasters. The disaster alert such as Earthquake Early Warning can be caught by usual smartphone. And we control virtual machines status and virtual machines positioning on the private cloud fabrics by caught disaster alert notifications. We think that our private cloud collaboration framework can continue working for e-Learning environment under the post-disaster situation. In this paper, we show our private cloud collaboration framework and the experimental results on the prototype configuration.