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research-article

When big data meets software-defined networking: SDN for big data and big data for SDN

Authors:

Qiao YanAuthors Info & Claims

IEEE Network, Volume 30, Issue 1

Pages 58 - 65

https://doi.org/10.1109/MNET.2016.7389832

Published: 01 January 2016 Publication History

Abstract

Both big data and software-defined networking (SDN) have attracted great interests from both academia and industry. These two important areas have traditionally been addressed separately in the most of previous works. However, on the one hand, the good features of SDN can greatly facilitate big data acquisition, transmission, storage, and processing. On the other hand, big data will have profound impacts on the design and operation of SDN. In this paper, we present the good features of SDN in solving several issues prevailing with big data applications, including big data processing in cloud data centers, data delivery, joint optimization, scientific big data architectures and scheduling issues. We show that SDN can manage the network efficiently for improving the performance of big data applications. In addition, we show that big data can benefit SDN as well, including traffic engineering, cross-layer design, defeating security attacks, and SDN-based intra and inter data center networks. Moreover, we discuss a number of open issues that need to be addressed to jointly consider big data and SDN in future research.

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cover image IEEE Network: The Magazine of Global Internetworking

IEEE Network: The Magazine of Global Internetworking Volume 30, Issue 1

January-February 2016

109 pages

ISSN:0890-8044

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IEEE Press

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Published: 01 January 2016

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Cited By

Chen GQi SShen FZeng QZhang Y(2024)Information-Aware Driven Dynamic LEO-RAN Slicing Algorithm Joint With Communication, Computing, and CachingIEEE Journal on Selected Areas in Communications10.1109/JSAC.2024.336589342:5(1044-1062)Online publication date: 13-Feb-2024
https://dl.acm.org/doi/10.1109/JSAC.2024.3365893
Voigt TAugustine R(2023)Towards a Flexbile Network API for Fat In-body CommunicationProceedings of the 2023 International Conference on embedded Wireless Systems and Networks10.5555/3639940.3639980(299-300)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.5555/3639940.3639980
Gomes JEhlert RBoesche RSantosde Lima VStocchero JBarone DWickboldt Jde Freitas Edos Anjos Jde Araujo Fernandes R(2023)Surveying Emerging Network Approaches for Military Command and Control SystemsACM Computing Surveys10.1145/362609056:6(1-38)Online publication date: 20-Oct-2023
https://dl.acm.org/doi/10.1145/3626090
Papa AKutsevol PMehmeti FKellerer W(2023)Delphi: Computing the Maximum Achievable Throughput in SD-RAN EnvironmentsIEEE Transactions on Network and Service Management10.1109/TNSM.2023.327688020:4(4846-4860)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1109/TNSM.2023.3276880
Wang EZhang MYang BYang YWu J(2023)Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensingIEEE Transactions on Mobile Computing10.1109/TMC.2023.333908923:7(7585-7601)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1109/TMC.2023.3339089
Quan WXu ZLiu MCheng NLiu GGao DZhang HShen XZhuang W(2023)AI-Driven Packet Forwarding With Programmable Data Plane: A SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.321761325:1(762-790)Online publication date: 1-Jan-2023
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Shen MYe KLiu XZhu LKang JYu SLi QXu K(2023)Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.320819625:1(791-824)Online publication date: 1-Jan-2023
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Munkhondya HIkuesan RSingh AVenter H(2023)Understanding Issues and Challenges of DFR Implementation in SDN PlatformProcedia Computer Science10.1016/j.procs.2023.01.292219:C(286-293)Online publication date: 1-Jan-2023
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Javanmardi SShojafar MMohammadi RPersico VPescapè A(2023)S-FoSJournal of Information Security and Applications10.1016/j.jisa.2022.10340472:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.jisa.2022.103404
Kaur GGupta PKumar Y(2022)Detection Mechanism Using Transductive Learning and Support Vectors for Software-Defined NetworksInternational Journal of Information Retrieval Research10.4018/IJIRR.30029312:3(1-22)Online publication date: 15-Jun-2022
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