Programming SDN-Native Big Data Applications: Research Gap Analysis

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Abstract

Software-Defined Networking has involved as a preferred abstraction for sharing network resources within a cloud datacenter in response to simultaneous data retrieval and computation demands from around the world. However, several research challenges need to be investigated before SDN powered-cloud datacenters are able to efficiently process big data as defined by its '4V' characteristics. Big data enabled-systems have to be able to respond to concurrent requests and allocate computing (e.g., virtual machine instances), storage (e.g., disk space) and networking (e.g., bandwidth) resources efficiently and effectively.

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Alwasel, K., Li, Y., Jayaraman, P. P., Garg, S., Calheiros, R. N., & Ranjan, R. (2017). Programming SDN-Native Big Data Applications: Research Gap Analysis. IEEE Cloud Computing, 4(5), 62–71. https://doi.org/10.1109/MCC.2017.4250934

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