Affiliation:
1. Energoprojekt Entel plc, Belgrade, Serbia
Abstract
The concept of “Cloud computing” became very interesting in recent years because it enables optimization of resources used and costs paid for it. Considering all advantages, this approach is applied widely in business systems of general purpose. In recent years, in literature it is possible to find considerations related to application of this approach in corporate systems as electric power utilities. Having in mind that such types of systems represent infrastructure ones that have great impact to the security of people and utilities, a very important question related to information security should be seriously considered. This chapter discusses advantages and disadvantages of application of cloud computing in electric power utility systems.
Reference26 articles.
1. Bitzer, B. (2015). Application of cloud computing for power systems. Trivent Publishing. Retrieved November 10, 2019, from https://trivent-publishing.eu/pdfdownload/18.BertholdBitzer.pdf
2. A comprehensive assessment of cloud computing for smart grid applications: A multi-perspectives framework
3. Experimental study in cloud-computing-based electric power SCADA system.;Y.Chen;ZTE Communications,2015
4. Migration of a SCADA system to IaaS clouds – a case study. Journal of Cloud Computing: Advances;P.Church;Systems, and Application,2017
5. Cloud Standards Customer Council (CSCC). (2017). Security for cloud computing – Ten steps to ensure success (version 3.0). Retrieved November 10, 2019, from https://www.omg.org/cloud/deliverables/CSCC-Security-for-Cloud-Computing-10-Steps-to-Ensure-Success.pdf
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