Edge Computing vs Cloud Computing
But by the time the data makes its way to the cloud for analysis, the opportunity to act on it might be gone. This white paper, intended for IT and operational technology professionals, explains a new model for analyzing and acting on IoT data. It is called either edge computing or Fog computing.
Cloud computing’s backbone is datacenter which does storage and computation of data, multiple datacenters are connected through optical network to form a data center network (DCN). Cloud computing has gained popularity among organisations due to: self service capability- No need to keep hardware and software maintenance staff. Scalability-Its easier for organisation to expand. They can use infrastructure according to there requirement in case of need to expand they can request for more infrastructure from the cloud provider.
If the management decides to go forward with the project, a representative should be selected to be the project manager and overseer (Furht and Escalante, 2010).
To implement this type of hybrid solution, identifying those needs and comparing them against costs should be the first step in assessing what would work best for you.
Furht, B., & Escalante, A. (2010). Handbook of Cloud Computing. New York: Springer.
Grid and Cloud Computing. (2010). New York: Springer Berlin Heidelberg.
Yang, Haibo and Tate, Mary (2012) "A Descriptive Literature Review and Classification of Cloud Computing Research," Communications of the Association for Information Systems: Vol. 31 , Article 2