Programming SDN-Native Big Data Applications: Research Gap Analysis

Khaled Alwasel; Yinhao Li; Prem Prakash Jayaraman; Saurabh Garg; Rodrigo N. Calheiros; Rajiv Ranjan

doi:10.1109/MCC.2017.4250934

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Journal article

Programming SDN-Native Big Data Applications: Research Gap Analysis

Khaled Alwasel, Yinhao Li, Prem Prakash Jayaraman, Saurabh Garg, Rodrigo N. Calheiros and Rajiv Ranjan

IEEE cloud computing, Vol.4(5), pp.62-71

01/09/2017

DOI: https://doi.org/10.1109/MCC.2017.4250934

Abstract

Computer Science

Computer Science, Information Systems

Computer Science, Theory & Methods

Science & Technology

Technology

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 enabledsystems 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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Title: Programming SDN-Native Big Data Applications: Research Gap Analysis
Creators - without role: Khaled Alwasel - University of Newcastle Australia
Yinhao Li - Newcastle University
Prem Prakash Jayaraman - Swinburne University of Technology
Saurabh Garg - University of Tasmania
Rodrigo N. Calheiros - Western Sydney University
Rajiv Ranjan - Newcastle University
Publication Details: IEEE cloud computing, Vol.4(5), pp.62-71
Publisher: IEEE
Number of pages: 10
Identifiers: 999972608331
Academic Unit: Saudi Electronic University
Language: English
Resource Type: Journal article