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Towards In-Network Industrial Feedback Control

Authors:

Vedad Causevic, and

Sandra HircheAuthors Info & Claims

NetCompute '18: Proceedings of the 2018 Morning Workshop on In-Network Computing

August 2018

Pages 14 - 19

https://doi.org/10.1145/3229591.3229592

Published: 07 August 2018 Publication History

Abstract

Controlling physical machinery and processes is at the core of production automation. However, challenged by inflexibility, automation and control is evaluating to outsource this control to resourceful cloud environments. While this enables to derive better control through a plethora of measurements, it challenges the control quality through delay introduced through networks.

In this paper, we show how to unify control and communication by offloading delay sensitive control tasks from the cloud to local network elements --- a previously unexplored area for in-network processing --- enabling both, ultra-high quality-of-control and scalable orchestration through cloud environments. Our implementation demonstrates how we combine state of the art control with communication. We achieve this by expressing the control and the datapath in P4 which we synthesize to BPF programs that we execute in XDP environments on Netronome SmartNICs. Further, we highlight the demands of control towards communication to build more involved and complex in-network controllers.

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Index Terms

Towards In-Network Industrial Feedback Control
1. Networks

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cover image ACM Conferences

NetCompute '18: Proceedings of the 2018 Morning Workshop on In-Network Computing

August 2018

44 pages

ISBN:9781450359085

DOI:10.1145/3229591

Copyright © 2018 ACM.

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 the author(s) 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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Published: 07 August 2018

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Cited By

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https://dl.acm.org/doi/10.1145/3556973
Pathak DRanjitha KModali KTammana PAntony FAlladi T(2023)Accelerating PUF-based Authentication Protocols Using Programmable SwitchNOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium10.1109/NOMS56928.2023.10154275(1-10)Online publication date: 8-May-2023
https://doi.org/10.1109/NOMS56928.2023.10154275
Cesen FRothenberg C(2023)Offloading Robotic and UAV Applications to the Network Using Programmable Data Planes2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)10.1109/NFV-SDN59219.2023.10329768(207-212)Online publication date: 7-Nov-2023
https://doi.org/10.1109/NFV-SDN59219.2023.10329768
Friesen MAbedin SGidlund MJasperneite J(2023)Network Digital Twins: A Key-Enabler for Zero-Touch Management in Industrial Communication Systems2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)10.1109/ETFA54631.2023.10275400(1-8)Online publication date: 12-Sep-2023
https://doi.org/10.1109/ETFA54631.2023.10275400
Györgyi CVörös PKecskeméti KSzabó GLaki S(2023)Adaptive Network Traffic Reduction on the Fly With Programmable Data PlanesIEEE Access10.1109/ACCESS.2023.325598511(24935-24944)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3255985
Hauser FHäberle MMerling DLindner SGurevich VZeiger FFrank RMenth M(2023)A survey on data plane programming with P4Journal of Network and Computer Applications10.1016/j.jnca.2022.103561212:COnline publication date: 24-Mar-2023
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