Abstract
This paper consists of four major sections: The first section is a literature review of cloud computing and a cost model. The next section focuses on detailed overviews of cloud computing and its levels of services: SaaS, PaaS, and IaaS. Major cloud computing providers are introduced, including Amazon Web Services (AWS),Microsoft Azure, and Google App Engine. Finally, case studies of implementing web applications on IaaS and PaaS using AWS, Linode and Google AppEngine are demonstrated. Justifications of running on an IaaS provider (AWS) and running on a PaaS provider (Google AppEngine) are described. The last section discusses costs and technology analysis comparing cloud computing with local managed storage and servers. The total costs of ownership (TCO) of an AWS small instance are significantlylower, but the TCO of a typical 10TB space in Amazon S3 aresignificantly higher. Since Amazon offers lower storage pricing for huge amounts of data, the TCO might be lower. Readers should do their own analysis on the TCOs.
Highlights
This paper focuses on enterprise-level applications and services, not individual-level cloud applications such as Google Docs
This paper starts with literature review of articles in cloud computing, some of them describing how libraries are incorporating and evaluating the cloud
In case 1, the author justifies the implementation of DSpace on Amazon Web Services (AWS)
Summary
This paper consists of four major sections: The first section is a literature review of cloud computing and a cost model. The 2009 survey indicates a gradual decline in their perception of the importance of “gateway,” no change in “archive,” growth in “buyer,” and increased importance for two new roles: “teaching support” and “research support.”[1] To meet customers’ needs in these roles, libraries are innovating services, including catalogs and home websites (as “gateway” services), repository and digital library programs (as “archive,” “teaching support,” and “research support” services), and interlibrary loan (as a “buyer” and “research support” services). These services rely on stable and effective IT infrastructure to operate. Web applications utilizing cloud computing can be much more effective and efficient in some cases
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