Increasing fault tolerance of data plane on the internet of things using the software-defined networks
Considering the Internet of Things (IoT) impact in today’s world, uninterrupted service is essential, and recovery has received more attention than ever before. Fault-tolerance (FT) is an essential aspect of network resilience. Fault-tolerance mechanisms are required to ensure high availability and...
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doaj-64384c14c20148b2bf698e74b4b236ec2021-05-29T15:05:09ZengPeerJ Inc.PeerJ Computer Science2376-59922021-05-017e54310.7717/peerj-cs.543Increasing fault tolerance of data plane on the internet of things using the software-defined networksKatayoun Bakhshi Kiadehi0Amir Masoud Rahmani1Amir Sabbagh Molahosseini2Department of Computer Engineering, Islamic Azad University Kerman Branch, Kerman, IranFuture Technology Research Center, National Yunlin University of Science and Technology, Douliou, Yunlin, TaiwanDepartment of Computer Engineering, Islamic Azad University Kerman Branch, Kerman, IranConsidering the Internet of Things (IoT) impact in today’s world, uninterrupted service is essential, and recovery has received more attention than ever before. Fault-tolerance (FT) is an essential aspect of network resilience. Fault-tolerance mechanisms are required to ensure high availability and high reliability in systems. The advent of software-defined networking (SDN) in the IoT plays a significant role in providing a reliable communication platform. This paper proposes a data plane fault-tolerant architecture using the concepts of software-defined networks for IoT environments. In this work, a mathematical model called Shared Risk Link Group (SRLG) calculates redundant paths as the primary and backup non-overlapping paths between network equipment. In addition to the fault tolerance, service quality was considered in the proposed schemes. Putting the percentage of link bandwidth usage and the rate of link delay in calculating link costs makes it possible to calculate two completely non-overlapping paths with the best condition. We compare our two proposed dynamic schemes with the hybrid disjoint paths (Hybrid_DP) method and our previous work. IoT developments, wireless and wired equipment are now used in many industrial and commercial applications, so the proposed hybrid dynamic method supports both wired and wireless devices; furthermore multiple link failures will be supported in the two proposed dynamic schemes. Simulation results indicate that, while reducing the error recovery time, the two proposed dynamic designs lead to improved service quality parameters such as packet loss and delay compared to the Hybrid_DP method. The results show that in case of a link failure in the network, the proposed hybrid dynamic scheme’s recovery time is approximately 12 ms. Furthermore, in the proposed hybrid dynamic scheme, on average, the recovery time, the packet loss, and the delay improved by 22.39%, 8.2%, 5.66%, compared to the Hybrid_DP method, respectively.https://peerj.com/articles/cs-543.pdfSoftware-defined networkInternet of thingsData planeFault toleranceSDNIoT |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Katayoun Bakhshi Kiadehi Amir Masoud Rahmani Amir Sabbagh Molahosseini |
spellingShingle |
Katayoun Bakhshi Kiadehi Amir Masoud Rahmani Amir Sabbagh Molahosseini Increasing fault tolerance of data plane on the internet of things using the software-defined networks PeerJ Computer Science Software-defined network Internet of things Data plane Fault tolerance SDN IoT |
author_facet |
Katayoun Bakhshi Kiadehi Amir Masoud Rahmani Amir Sabbagh Molahosseini |
author_sort |
Katayoun Bakhshi Kiadehi |
title |
Increasing fault tolerance of data plane on the internet of things using the software-defined networks |
title_short |
Increasing fault tolerance of data plane on the internet of things using the software-defined networks |
title_full |
Increasing fault tolerance of data plane on the internet of things using the software-defined networks |
title_fullStr |
Increasing fault tolerance of data plane on the internet of things using the software-defined networks |
title_full_unstemmed |
Increasing fault tolerance of data plane on the internet of things using the software-defined networks |
title_sort |
increasing fault tolerance of data plane on the internet of things using the software-defined networks |
publisher |
PeerJ Inc. |
series |
PeerJ Computer Science |
issn |
2376-5992 |
publishDate |
2021-05-01 |
description |
Considering the Internet of Things (IoT) impact in today’s world, uninterrupted service is essential, and recovery has received more attention than ever before. Fault-tolerance (FT) is an essential aspect of network resilience. Fault-tolerance mechanisms are required to ensure high availability and high reliability in systems. The advent of software-defined networking (SDN) in the IoT plays a significant role in providing a reliable communication platform. This paper proposes a data plane fault-tolerant architecture using the concepts of software-defined networks for IoT environments. In this work, a mathematical model called Shared Risk Link Group (SRLG) calculates redundant paths as the primary and backup non-overlapping paths between network equipment. In addition to the fault tolerance, service quality was considered in the proposed schemes. Putting the percentage of link bandwidth usage and the rate of link delay in calculating link costs makes it possible to calculate two completely non-overlapping paths with the best condition. We compare our two proposed dynamic schemes with the hybrid disjoint paths (Hybrid_DP) method and our previous work. IoT developments, wireless and wired equipment are now used in many industrial and commercial applications, so the proposed hybrid dynamic method supports both wired and wireless devices; furthermore multiple link failures will be supported in the two proposed dynamic schemes. Simulation results indicate that, while reducing the error recovery time, the two proposed dynamic designs lead to improved service quality parameters such as packet loss and delay compared to the Hybrid_DP method. The results show that in case of a link failure in the network, the proposed hybrid dynamic scheme’s recovery time is approximately 12 ms. Furthermore, in the proposed hybrid dynamic scheme, on average, the recovery time, the packet loss, and the delay improved by 22.39%, 8.2%, 5.66%, compared to the Hybrid_DP method, respectively. |
topic |
Software-defined network Internet of things Data plane Fault tolerance SDN IoT |
url |
https://peerj.com/articles/cs-543.pdf |
work_keys_str_mv |
AT katayounbakhshikiadehi increasingfaulttoleranceofdataplaneontheinternetofthingsusingthesoftwaredefinednetworks AT amirmasoudrahmani increasingfaulttoleranceofdataplaneontheinternetofthingsusingthesoftwaredefinednetworks AT amirsabbaghmolahosseini increasingfaulttoleranceofdataplaneontheinternetofthingsusingthesoftwaredefinednetworks |
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