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Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat

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IoT-based Intelligent Modelling for Environmental and Ecological Engineering

Abstract

Cloud computing utilizes thousands of Cloud Data Centres (CDC) and fulfils the demand of end-users dynamically using new technologies and paradigms such as Industry 4.0 and Internet of Things (IoT). With the emergence of Industry 4.0, the quality of cloud service has increased; however, CDC consumes a large amount of energy and produces a huge quantity of carbon footprint, which is one of the major drivers of climate change. This chapter discusses the impacts of cloud developments on climate and quantifies the carbon footprint of cloud computing in a warming world. Further, the dynamic transition from cloud computing to Industry 4.0 is discussed from an eco-friendly/climate change threat perspective. Finally, open research challenges and opportunities for prospective researchers are explored.

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Abbreviations

CDC:

Cloud Data Centres

AI:

Artificial Intelligence

IoT:

Internet of Things

6G:

6th Generation

VMs:

Virtual Machines

SLA:

Service Level Agreements

QoS:

Quality of Service

NAS:

Network Attached Storage

IPCC:

Intergovernmental Panel on Climate Change

Terms:

Description

Cloud Computing:

It is on-demand cloud service (using resources such as processor, storage, memory and network) to the users via Internet

Industry 4.0:

Current trend of automation and data transfer in manufacturing technologies

Climate Change:

Change in the mean or basic state of the climate

Eco-friendly:

Anything that does not harm the environment

Quality of Service (QoS):

It is a measurement in terms of performance parameters to evaluate the service quality

Service Level Agreements (SLA):

SLA is an official document, which is signed between cloud user and cloud provider based on QoS requirements

Agriculture 4.0:

Atomization of Agriculture related aspects such as precision agriculture and big data analytics

Healthcare 4.0:

Management of vast amount of healthcare data efficiently

Carbon Footprints:

It is the amount of carbon released in the environment by the computing system

Digitization of Economies:

The transition of financial systems towards digital platforms

COVID-19 Pandemic:

It is a coronavirus disease 2019, which is caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2)

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Acknowledgements

We would like to thank the Editors (Prof. Paul Krause and Prof. Fatos Xhafa) and anonymous reviewers for their valuable comments and suggestions to help and improve our research paper.

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Correspondence to Sukhpal Singh Gill .

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Glossary of Terms

Terms

Description

Cloud Computing

It is on-demand cloud service (using resources such as processor, storage, memory and network) to the users via Internet

Industry 4.0

Current trend of automation and data transfer in manufacturing technologies

Climate Change

Change in the mean or basic state of the climate

Eco-friendly

Anything that does not harm the environment

Quality of Service (QoS)

It is a measurement in terms of performance parameters to evaluate the service quality

Service Level Agreements (SLA)

SLA is an official document, which is signed between cloud user and cloud provider based on QoS requirements

Agriculture 4.0

Atomization of Agriculture related aspects such as precision agriculture and big data analytics

Healthcare 4.0

Management of vast amount of healthcare data efficiently

Carbon Footprints

It is the amount of carbon released in the environment by the computing system

Digitization of Economies

The transition of financial systems towards digital platforms

COVID-19 Pandemic

It is a coronavirus disease 2019, which is caused by SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2)

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Singh, M., Tuli, S., Butcher, R.J., Kaur, R., Gill, S.S. (2021). Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat. In: Krause, P., Xhafa, F. (eds) IoT-based Intelligent Modelling for Environmental and Ecological Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 67. Springer, Cham. https://doi.org/10.1007/978-3-030-71172-6_12

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