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Programming SDN-Native big data applications: research gap analysis

Alwasel, K, Li, Y, Jayaraman, PP, Garg, SK ORCID: 0000-0003-3510-2464, Calheiros, RN and Ranjan, R 2017 , 'Programming SDN-Native big data applications: research gap analysis' , IEEE Cloud Computing, vol. 4, no. 5 , pp. 62-71 , doi: 10.1109/MCC.2017.4250934.

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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.

Item Type: Article
Authors/Creators:Alwasel, K and Li, Y and Jayaraman, PP and Garg, SK and Calheiros, RN and Ranjan, R
Keywords: SDN, big data
Journal or Publication Title: IEEE Cloud Computing
Publisher: IEEE Computer Society
ISSN: 2325-6095
DOI / ID Number: 10.1109/MCC.2017.4250934
Copyright Information:

© 2017 IEEE

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