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IaaS cloud computing services for libraries: cloud storage and virtual machines

机译：用于库的IaaS云计算服务：云存储和虚拟机

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Purpose - The purpose of this article is to provide an overview of current uses of cloud computing (CC) services in libraries, address a gap identified in integrating cloud storage in IaaS level, and show how to use EC2 tools for easy backup and resource monitoring. Design/methodology/approach - The article begins a literature review of CC uses in libraries, organized at the SaaS, PaaS and IaaS levels. The author presents his experience of integrating cloud storage services S3 and GCS. In addition, he also shows how to use virtual machine EC2 tools for backup and monitoring resources. Findings - The article describes a case study of integrating cloud storage using S3 and GCS. S3 can be integrated with any program whether the program runs on cloud or locally, while GCS is only good for applications running on GAE. The limitation of the current GCS approach makes it hard to use for a stand-alone cloud storage. The author also discusses virtual machines using EC2 and its related tools for backup, increase storage, and monitoring service. These services make system administration easier as compared to the traditional approach. Research limitations/implications - The article presents current CC uses in libraries at the SaaS, PaaS, and IaaS levels. CC services are changing quickly. For example, Google has stated that its APIs are experimental. Readers should be aware of this. Practical implications - The author shows his experience of integrating cloud storage services. Readers can understand the similarities and differences between S3 and GCS. In addition, readers can learn the advantages and concerns associated with implementing cloud computing. Readers are encouraged to consider questions such as content, skills, costs, and security. Originality/value - There are many uses of CC services in libraries. However, gaps are identified: in IaaS cloud storage, a few libraries used Amazon S3 and Microsoft Azure, but none explored using Google Cloud Storage (GCS); none provided implementation details, difficulties, and comparisons of S3 and GCS; and a few articles have briefly discussed implementations on Amazon EC2, but have not provided specific details about upgrade and backup. This article addresses those gaps.
机译：目的-本文的目的是概述库中云计算（CC）服务的当前用法，解决在IaaS级别集成云存储时发现的空白，并展示如何使用EC2工具轻松备份和监视资源。设计/方法/方法-本文开始按SaaS，PaaS和IaaS级别对CC在图书馆中的使用进行文献综述。作者介绍了他集成云存储服务S3和GCS的经验。此外，他还展示了如何使用虚拟机EC2工具来备份和监视资源。调查结果-本文介绍了使用S3和GCS集成云存储的案例研究。 S3可以与任何程序集成，无论该程序在云上还是在本地运行，而GCS仅适合在GAE上运行的应用程序。当前GCS方法的局限性使其很难用于独立的云存储。作者还讨论了使用EC2及其相关工具进行备份，增加存储和监视服务的虚拟机。与传统方法相比，这些服务使系统管理更加容易。研究局限性/含义-本文介绍了SaaS，PaaS和IaaS级别库中当前CC的用法。 CC服务正在快速变化。例如，谷歌已经声明其API是实验性的。读者应注意这一点。实际意义-作者展示了他集成云存储服务的经验。读者可以了解S3和GCS之间的异同。此外，读者可以了解与实施云计算相关的优势和关注点。鼓励读者考虑诸如内容，技能，成本和安全性之类的问题。创意/价值-库中CC服务有许多用途。但是，仍然存在差距：在IaaS云存储中，一些库使用Amazon S3和Microsoft Azure，但没有一个库使用Google Cloud Storage（GCS）进行探索；没有一个提供实施细节，困难以及S3和GCS的比较；并且有几篇文章简要讨论了在Amazon EC2上的实现，但没有提供有关升级和备份的特定详细信息。本文解决了这些差距。

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