SDN-enabled network virtualization for industry 4.0 based on IoTs and cloud computing

Ma, Yi-Wei; Chen, Yung-Chiao; Chen, Jiann-Liang

doi:10.23919/icact.2017.7890083

Cited by 37 publications

(21 citation statements)

References 15 publications

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“…Operating system-level virtualisation is the most common whereby operating system kernels and functions are virtualised as virtual machines (VMs). However, the mobility of IoT devices requires continuous VM migration among different computer servers [2,107]. Containerisation is the emerging technology that is gradually replacing VMs by sharing a single kernel among different applications on the same type of operating systems.…”

Section: Emerging and Complimentary Technologies For Iiot Systemsmentioning

confidence: 99%

The role of big data analytics in industrial Internet of Things

Rehman

Yaqoob

Salah

et al. 2019

Future Generation Computer Systems

290

117

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Big data production in industrial Internet of Things (IIoT) is evident due to the massive deployment of sensors and Internet of Things (IoT) devices. However, big data processing is challenging due to limited computational, networking and storage resources at IoT device-end. Big data analytics (BDA) is expected to provide operational-and customer-level intelligence in IIoT systems. Although numerous studies on IIoT and BDA exist, only a few studies have explored the convergence of the two paradigms. In this study, we investigate the recent BDA technologies, algorithms and techniques that can lead to the development of intelligent IIoT systems. We devise a taxonomy by classifying and categorising the literature on the basis of important parameters (e.g. data sources, analytics tools, analytics techniques, requirements, industrial analytics applications and analytics types). We present the frameworks and case studies of the various enterprises that have benefited from BDA. We also enumerate the considerable opportunities introduced by BDA in IIoT. We identify and discuss the indispensable challenges that remain to be addressed as future research directions as well.

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Section: Emerging and Complimentary Technologies For Iiot Systemsmentioning

confidence: 99%

The role of big data analytics in industrial Internet of Things

Rehman

Yaqoob

Salah

et al. 2019

Future Generation Computer Systems

290

117

View full text Add to dashboard Cite

show abstract

“…SDN is the solution that can be used to upgrade the scalability of the cloud and fulfil the need of the hour. SDN can furnish a new architecture which supports the dynamism in network architecture and then further transforms the usual cloud networks into prosperous provider delivery platforms [49][50]. This is the reason for introducing SDN into the cloud.…”

Section: Sdn Enabled Cloud Computingmentioning

confidence: 99%

A Review on Software-Defined Networking Enabled Iot Cloud Computing

Badotra¹,

Panda²

2019

IIUMEJ

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Making use of Internet of Things (IoT) is becoming the necessity of today’s life. The data collected and stored through IoT devices comes from the cloud and therefore cloud computing is acting as a backbone for supporting IoT. But it is easy to forget that the cloud is not completely digital in some areas of the world and there is a need for a data centre where data storage can be achieved. Cloud data centres are facing many difficulties and issues because they are using traditional methods of networking. This is where Software Defined Networking (SDN) has come into view; where it has changed the way traditional networks are operated. For example, the separation of the intelligence of the network devices within the data path can be useful in making networks agile and manageable. This paper aims to provide problem areas in the networking used by the cloud data centres and the role of SDN to overcome these issues. Platforms for providing the experimental setup for collaboration between SDN and cloud will ultimately be beneficial in setting up the SDN- enabled IoT cloud, and this is also discussed with the open research problems. ABSTRAK: Penggunaan Internet Benda (IoT) menjadi keperluan kepada kehendak hari ini. Data yang dikumpul dan disimpan melalui peranti IoT berasal dari awan dan oleh itu pengkomputeran awan bertindak sebagai tulang belakang bagi menyokong IoT. Tetapi, satu perkara yang dilupakan adalah bahawa awan itu tidak sepenuhnya digital, di suatu tempat dalam dunia ini, terdapat keperluan pada pusat data di mana penyimpanan data boleh dicapai. Pusat data awan menghadapi banyak masalah dan isu kerana ianya menggunakan kaedah rangkaian tradisional. Di sinilah Perisian Definisi Perangkaian (SDN) dipandang; ia telah mengubah cara rangkaian tradisional dikendalikan. Sebagai contoh, pemisahan kecerdasan peranti rangkaian dengan laluan data berguna bagi membuat rangkaian pintar dan boleh diurus. Kajian ini bertujuan bagi menyediakan ruang masalah dalam rangkaian yang digunakan oleh pusat Data Awan dan peranan SDN dalam mengatasi masalah ini. Platform persediaan eksperimen bagi kerjasama SDN dan awan akhirnya bermanfaat dalam menubuhkan pengaktifan-SDN awan IOT, juga turut dibincangkan dalam kajian ini berkenaan masalah penyelidikan terbuka.

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“…Network slicing has previously been studied in the context of industrial systems as a way to manage the increasing complexity of manufacturing networks [11]- [13]. However, the concept has mainly been treated from an architectural point of view, and the problem of how to slice the physical networks has received less attention.…”

Section: Introductionmentioning

confidence: 99%

Network Slicing in Industry 4.0 Applications: Abstraction Methods and End-to-End Analysis

Kalør

Guillaume

Nielsen

et al. 2018

IEEE Trans. Ind. Inf.

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Industry 4.0 introduces modern communication and computation technologies such as cloud computing and Internet of Things to industrial manufacturing systems. As a result, many devices, machines and applications will rely on connectivity, while having different requirements to the network, ranging from high reliability and low latency to high data rates. Furthermore, these industrial networks will be highly heterogeneous as they will feature a number of diverse communication technologies. Current technologies are not well suited for this scenario, which requires that the network is managed at an abstraction level which is decoupled from the underlying technologies. In this paper, we consider network slicing as a mechanism to handle these challenges. We present methods for slicing deterministic and packet-switched industrial communication protocols which simplifies the manageability of heterogeneous networks with various application requirements. Furthermore, we show how to use network calculus to assess the end-to-end properties of the network slices.

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SDN-enabled network virtualization for industry 4.0 based on IoTs and cloud computing

Cited by 37 publications

References 15 publications

The role of big data analytics in industrial Internet of Things

The role of big data analytics in industrial Internet of Things

A Review on Software-Defined Networking Enabled Iot Cloud Computing

Network Slicing in Industry 4.0 Applications: Abstraction Methods and End-to-End Analysis

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