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Application-aware data plane processing in SDN

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T.V. LakshmanAuthors Info & Claims

HotSDN '14: Proceedings of the third workshop on Hot topics in software defined networking

Pages 13 - 18

https://doi.org/10.1145/2620728.2620735

Published: 22 August 2014 Publication History

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Abstract

A key benefit of Software Defined Networks is fine-grained management of network flows made possible by the execution of flow-specific actions based upon inspection and matching of various packet fields. However, current switches and protocols limit the inspected fields to layer 2-4 headers and hence any customized flow-handling that uses higher-layer information necessitates sending the packets to the controller. This is inefficient and slow, adding several switch-to-controller round-trip delays. This paper proposes an extended SDN architecture that enables fast customized packet-handling even when the information used is not restricted to L2-L4. We describe an implementation of this architecture that keeps most of the processing in the data plane and limits the need to send packets to the controller even when higher-layer information is used in packet-handling. We show how some popular applications can be implemented using this extended architecture and evaluate the performance of one such application using a prototype implementation on Open vSwitch. The results show that the proposed architecture has low overhead, good performance and can take advantage of a flexible scale-out design for application deployment.

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Cited By

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Akinyemi LAgbo-Ajala JMoulla DAttipoe DThotempudi SMnkandla ESumbwanyambe M(2025)Deep Reinforcement Learning-Based Open and Hybrid Switching-Driven Software-Defined Networking: Adaptability and ComparisonThe 7th International Conference on Wireless, Intelligent and Distributed Environment for Communication10.1007/978-3-031-80817-3_4(55-74)Online publication date: 26-Feb-2025
https://doi.org/10.1007/978-3-031-80817-3_4
Blose MAkinyemi L(2024)Scalable Hybrid Switching-Inspired Sofware Defined Networking Challenges: From the Perspective of Machine Learning Approach2024 Conference on Information Communications Technology and Society (ICTAS)10.1109/ICTAS59620.2024.10507139(186-191)Online publication date: 7-Mar-2024
https://doi.org/10.1109/ICTAS59620.2024.10507139
Vijay AKasiselvanathan MSridhar PSharan RSurya GVishva Surjith M(2024)Recent Developments in Designing Internet of Things Architectures2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10574910(1575-1580)Online publication date: 5-Jun-2024
https://doi.org/10.1109/ICAAIC60222.2024.10574910
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Index Terms

Application-aware data plane processing in SDN
1. Networks
  1. Network architectures
  2. Network services
    1. Network management

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Information

Published In

HotSDN '14: Proceedings of the third workshop on Hot topics in software defined networking

August 2014

252 pages

ISBN:9781450329897

DOI:10.1145/2620728

Program Chairs:
Aditya Akella
University of Wisconsin-Madison, USA
,
Albert Greenberg
Microsoft, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 August 2014

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Research-article

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SIGCOMM'14

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SIGCOMM

SIGCOMM'14: ACM SIGCOMM 2014 Conference

August 22, 2014

Illinois, Chicago, USA

Acceptance Rates

HotSDN '14 Paper Acceptance Rate 50 of 114 submissions, 44%;

Overall Acceptance Rate 88 of 198 submissions, 44%

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Cited By

View all

Akinyemi LAgbo-Ajala JMoulla DAttipoe DThotempudi SMnkandla ESumbwanyambe M(2025)Deep Reinforcement Learning-Based Open and Hybrid Switching-Driven Software-Defined Networking: Adaptability and ComparisonThe 7th International Conference on Wireless, Intelligent and Distributed Environment for Communication10.1007/978-3-031-80817-3_4(55-74)Online publication date: 26-Feb-2025
https://doi.org/10.1007/978-3-031-80817-3_4
Blose MAkinyemi L(2024)Scalable Hybrid Switching-Inspired Sofware Defined Networking Challenges: From the Perspective of Machine Learning Approach2024 Conference on Information Communications Technology and Society (ICTAS)10.1109/ICTAS59620.2024.10507139(186-191)Online publication date: 7-Mar-2024
https://doi.org/10.1109/ICTAS59620.2024.10507139
Vijay AKasiselvanathan MSridhar PSharan RSurya GVishva Surjith M(2024)Recent Developments in Designing Internet of Things Architectures2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)10.1109/ICAAIC60222.2024.10574910(1575-1580)Online publication date: 5-Jun-2024
https://doi.org/10.1109/ICAAIC60222.2024.10574910
Khater AAmirmasoud Noohi SReza Hashemi MZali Z(2024)An NFV-Based Framework for Autonomous Deployment of New Protocols in SDN NetworksIEEE Access10.1109/ACCESS.2024.347624412(148727-148740)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3476244
Mahmoudi MBarekatain BBeheshti ZQuintana A(2024)MBL-DSDN: a novel load balancing algorithm in distributed software-defined networks based on micro-clustering and B-LSTM methodsThe Journal of Supercomputing10.1007/s11227-024-06231-5Online publication date: 1-Jun-2024
https://doi.org/10.1007/s11227-024-06231-5
Maleh YSahid AAbd El-Latif AOuazzane K(2024)Machine Learning Techniques for Secure Edge SDNSecure Edge and Fog Computing Enabled AI for IoT and Smart Cities10.1007/978-3-031-51097-7_14(175-193)Online publication date: 20-Mar-2024
https://doi.org/10.1007/978-3-031-51097-7_14
T. Aditya A. David Donald G. Thippanna M. Mohsina Kousar C. Madilety (2023)SDN Application Plane Where Intelligence Meets NetworkingInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-8529(512-519)Online publication date: 27-Feb-2023
https://doi.org/10.48175/IJARSCT-8529
Priyadarsini MBera PDas SRahman M(2023)A Security Enforcement Framework for SDN Controller Using Game Theoretic ApproachIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2022.315869020:2(1500-1515)Online publication date: 1-Mar-2023
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Sharma SKushwaha AAlizadeh MVarghese GGumaste A(2022)Tuneman: Customizing Networks to Guarantee Application Bandwidth and LatencyACM Transactions on Internet Technology10.1145/357565723:1(1-26)Online publication date: 9-Dec-2022
https://dl.acm.org/doi/10.1145/3575657
Siddiqui SHameed SShah SAhmad IAneiba ADraheim DDustdar S(2022)Toward Software-Defined Networking-Based IoT Frameworks: A Systematic Literature Review, Taxonomy, Open Challenges and ProspectsIEEE Access10.1109/ACCESS.2022.318831110(70850-70901)Online publication date: 2022
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