Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Programming SDN-Native Big Data Applications: Research Gap Analysis

Lookup NU author(s): Khaled Alwasel, Yinhao Li, Professor Raj Ranjan

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2017 IEEE. 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.


Publication metadata

Author(s): Alwasel K, Li Y, Jayaraman PP, Garg S, Calheiros RN, Ranjan R

Publication type: Article

Publication status: Published

Journal: IEEE Cloud Computing

Year: 2017

Volume: 4

Issue: 5

Pages: 62-71

Online publication date: 01/12/2017

Acceptance date: 02/04/2016

ISSN (electronic): 2325-6095

Publisher: IEEE

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

DOI: 10.1109/MCC.2017.4250934


Altmetrics

Altmetrics provided by Altmetric


Share