A delay resilient approach in cyber physical systems for Industrial IoT

Current paradigm shifts in the ICT domain in particular, mobile, social, cloud and big data are urging computer networks for high bandwidth, ubiquitous accessibility, and dynamic management. OpenFlow network protocol helps in that goal as part of a Software-Defined Networking (SDN) movement to manag...

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Main Author: Rawal, Akshay
Other Authors: Tan Rui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2019
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Online Access:https://hdl.handle.net/10356/136503
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1365032019-12-20T05:59:16Z A delay resilient approach in cyber physical systems for Industrial IoT Rawal, Akshay Tan Rui School of Computer Science and Engineering tanrui@ntu.edu.sg Engineering::Computer science and engineering Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks Current paradigm shifts in the ICT domain in particular, mobile, social, cloud and big data are urging computer networks for high bandwidth, ubiquitous accessibility, and dynamic management. OpenFlow network protocol helps in that goal as part of a Software-Defined Networking (SDN) movement to manage the connectivity of the multitude of devices in a network such as an Internet of things (IOT) network by differentiating between the control plane and data plane of the network and providing the bridge for interaction between the two planes. Industrial IOT is a special case of a cyber-physical system (CPS) that has strict time-based delay requirements for important tasks such as execution and monitoring of industrial systems. Network delay is an important design and performance characteristic of a computer network. Especially so in the case of Industrial IOT. However, the time-sensitive nature of Industrial IOT leads to traditional methods of measuring delay, such as flooding the network with as Internet Control Message Protocol (ICMP) packets, a critical failure in one of the fundamental requirements for the need of constant uptime of Industrial IOT. Therefore the need for measuring delay using novel approaches while conforming to the design of the OpenFlow protocol is important for Industrial IOT. In this paper, we present a previously explored idea for exploiting Link Layer Discovery Protocol (LLDP) packets for storing time information and further that approach by using a systematic method of ensuring end-to-end delay by dividing the delay into several parts and measuring each separately. We also exploit the Type-Length-Value field of LLDP packets to store a timestamp value to provide more accurate results. We also recommend a modification to the standard for Link-Layer Discovery Protocol especially for OpenFlow networks that requires the network applications to include the ability to easily add user-defined fields and update values using a managed application programming interface by default not only to help in overcoming the shortfall of a reliable delay measurement protocol but also provide a network-wide status information for networks that rely on OpenFlow. Bachelor of Engineering (Computer Science) 2019-12-20T05:59:15Z 2019-12-20T05:59:15Z 2019 Final Year Project (FYP) https://hdl.handle.net/10356/136503 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle Engineering::Computer science and engineering
Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Rawal, Akshay
A delay resilient approach in cyber physical systems for Industrial IoT
description Current paradigm shifts in the ICT domain in particular, mobile, social, cloud and big data are urging computer networks for high bandwidth, ubiquitous accessibility, and dynamic management. OpenFlow network protocol helps in that goal as part of a Software-Defined Networking (SDN) movement to manage the connectivity of the multitude of devices in a network such as an Internet of things (IOT) network by differentiating between the control plane and data plane of the network and providing the bridge for interaction between the two planes. Industrial IOT is a special case of a cyber-physical system (CPS) that has strict time-based delay requirements for important tasks such as execution and monitoring of industrial systems. Network delay is an important design and performance characteristic of a computer network. Especially so in the case of Industrial IOT. However, the time-sensitive nature of Industrial IOT leads to traditional methods of measuring delay, such as flooding the network with as Internet Control Message Protocol (ICMP) packets, a critical failure in one of the fundamental requirements for the need of constant uptime of Industrial IOT. Therefore the need for measuring delay using novel approaches while conforming to the design of the OpenFlow protocol is important for Industrial IOT. In this paper, we present a previously explored idea for exploiting Link Layer Discovery Protocol (LLDP) packets for storing time information and further that approach by using a systematic method of ensuring end-to-end delay by dividing the delay into several parts and measuring each separately. We also exploit the Type-Length-Value field of LLDP packets to store a timestamp value to provide more accurate results. We also recommend a modification to the standard for Link-Layer Discovery Protocol especially for OpenFlow networks that requires the network applications to include the ability to easily add user-defined fields and update values using a managed application programming interface by default not only to help in overcoming the shortfall of a reliable delay measurement protocol but also provide a network-wide status information for networks that rely on OpenFlow.
author2 Tan Rui
author_facet Tan Rui
Rawal, Akshay
format Final Year Project
author Rawal, Akshay
author_sort Rawal, Akshay
title A delay resilient approach in cyber physical systems for Industrial IoT
title_short A delay resilient approach in cyber physical systems for Industrial IoT
title_full A delay resilient approach in cyber physical systems for Industrial IoT
title_fullStr A delay resilient approach in cyber physical systems for Industrial IoT
title_full_unstemmed A delay resilient approach in cyber physical systems for Industrial IoT
title_sort delay resilient approach in cyber physical systems for industrial iot
publisher Nanyang Technological University
publishDate 2019
url https://hdl.handle.net/10356/136503
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