Cloud Computing


As opposed to running computer operations on a local hard drive(s), cloud computing allows a user to take advantage of a network of multiple servers which are usually held en-masse in a separate space either in one location or distributed across a country or the world. Cloud computing is easier to scale than owning local servers and has therefore allowed researchers to increase computing power on an as-needed basis.

Further Resources

Wolke A., Bichler M, Chirigati F, & Steeves V. (2016). Reproducible experiments on dynamic resource allocation in cloud data centers. Information Systems, 59, 98–101. .

Von Suchodoletz D, Rechert K., & Valizada I. (2013). Towards Emulation-as-a-Service: Cloud Services for Versatile Digital Object Access. International Journal of Digital Curation, 8(1), 131–142.

Sahoo SS, Jayapandian C, Garg G, Kaffashi F, Chung S, Bozorgi A, … Zhang G-Q. (2014). Heart beats in the cloud: distributed analysis of electrophysiological “Big Data” using cloud computing for epilepsy clinical research. Journal of the American Medical Informatics Association, 21(2), 263–271.

Heath AP, Greenway M, Powell R, Spring J, Suarez R, Hanley D, … Grossman RL. (2014). Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets. Journal of the American Medical Informatics Association, 21(6), 969–975.

Dehmlow M. (2016). Editorial Board Thoughts: The Importance of Staff Change Management in the Face of the Growing “Cloud”. Information Technology & Libraries, 35(1), 3–6.

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