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

Programming SDN-native big data applications : research gap analysis

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

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	62-71
Number of pages	10
Journal	IEEE Cloud Computing
Volume	4
Issue number	5
DOIs	https://doi.org/10.1109/MCC.2017.4250934
Publication status	Published - 2017

Keywords

big data
cloud computing
software-defined networking (computer network technology)

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10.1109/MCC.2017.4250934

Cite this

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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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AU - Calheiros, Rodrigo N.

AU - Ranjan, Rajiv

PY - 2017

Y1 - 2017

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AB - 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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KW - software-defined networking (computer network technology)

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Programming SDN-native big data applications : research gap analysis

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Keywords

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