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What are some examples of cloud service in use?

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There are many examples of Web 2.0 services and systems of use to academia, some of which are already making an impact on learning and research. Web 2.0 technologies specifically for curation are less prevalent, although some initiatives are emerging.5 A few of the most relevant examples are noted below: - See more at: http://www.dcc.ac.uk/resources/briefing-papers/introduction-curation/web-20#2

In the realm of digital data, vendor-supplied cloud systems will still leave the user with responsibility for curation of digital data. Some of the very tasks users thought they were delegating to the cloud vendor may be a requirement for users after all. For example, cloud vendors most often require that users maintain archival copies. Beyond the better known vendor cloud model, we examine curation in two other models: inhouse clouds, and what we call "open" clouds—which are neither inhouse nor vendor. In open clouds, users come aboard as participants or partners—for example, by invitation. In open cloud systems users can develop their own software and data management, control access, and purchase their own hardware while running securely in the cloud environment. To do so will still require working within the rules of the cloud system, but in some open cloud systems those restrictions and limitations can be walked around easily with surprisingly little loss of freedom. It is in this context that REDDnet (Research and Education Data Depot network) is presented as the place where the Texas Tech University (TTU)) Libraries have been conducting research on long-term digital archival storage. The REDDnet network by year's end will be at 1.2 petabytes (PB) with an additional 1.4 PB for a related project (Compact Muon Soleniod Heavy Ion [CMS-HI]); additionally there are over 200 TB of tape storage. These numbers exclude any disk space which TTU will be purchasing during the year. National Science Foundation (NSF) funding covering REDDnet and CMS-HI was in excess of $850,000 with $850,000 earmarked toward REDDnet. In the terminology we used above, REDDnet is an open cloud system that invited TTU Libraries to participate. This means that we run software which fits the REDDnet structure. We are beginning to complete the final design of our system, and starting to move into the first stages of construction. And we have made a decision to move forward and purchase one-half petabyte of disk storage in the initial phase. The concerns, deliberations and testing are presented here along with our initial approach.

The Digital Preservation Network (DPN) was formed to ensure that the complete scholarly record is preserved for future generations. DPN uses a federated approach to preservation. The higher education community has created many digital repositories to provide long-term preservation and access. By replicating multiple dark copies of these collections in diverse nodes, DPN protects against the risk of catastrophic loss due to technology, organizational or natural disasters.

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  • Ercan, Tuncay. 2010. “Effective Use of Cloud Computing in Educational Institutions.” Procedia - Social and Behavioral Sciences 2 (2) (January): 938–942. doi:10.1016/j.sbspro.2010.03.130.

Cloud computing is becoming an adoptable technology for many of the organizations with its dynamic scalability and usage of virtualized resources as a service through the Internet. It will likely have a significant impact on the educational environment in the future. Cloud computing is an excellent alternative for educational institutions which are especially under budget shortage in order to operate their information systems effectively without spending any more capital for the computers and network devices. Universities take advantage of available cloud-based applications offered by service providers and enable their own users/students to perform business and academic tasks. In this paper, we will review what the cloud computing infrastructure will provide in the educational arena, especially in the universities where the use of computers are more intensive and what can be done to increase the benefits of common applications for students and teachers.

 

  • XML Processing in the Cloud: Large-Scale Digital Preservation in Small Institutions, Wittek, P., Jacquin, T., Déjean, H., Chanod, J-P., Darányi, S.: XML Processing in the Cloud: Large-Scale Digital Preservation in Small Institutions. Proceedings of DataCloud-11, 1st International Workshop on Data Intensive Computing in the Clouds in conjunction with the 25th IEEE International Parallel and Distributed Computing Symposium, pp. 1067—1076. Anchorage, Alaska, United States. May, 2011.

Digital preservation deals with the problem of retaining the meaning of digital information over time to ensure its accessibility. The process often involves a workflow which transforms the digital objects. The workflow defines document pipelines containing transformations and validation checkpoints, either to facilitate migration for persistent archival or to extract metadata. The transformations, nevertheless, are computationally expensive, and therefore digital preservation can be out of reach for an organization whose core operation is not in data conservation. The operations described the document workflow, however, do not frequently reoccur. This paper combines an implementation-independent workflow designer with cloud computing to support small institution in their adhoc peak computing

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