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Deployment and Optimization for Cloud Computing Technologies in IoT

Deployment and Optimization for Cloud Computing Technologies in IoT

Aditya Pratap Singh, Pradeep Tomar
Copyright: © 2018 |Pages: 14
ISBN13: 9781522534457|ISBN10: 1522534458|EISBN13: 9781522534464
DOI: 10.4018/978-1-5225-3445-7.ch003
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MLA

Singh, Aditya Pratap, and Pradeep Tomar. "Deployment and Optimization for Cloud Computing Technologies in IoT." Examining Cloud Computing Technologies Through the Internet of Things, edited by Pradeep Tomar and Gurjit Kaur, IGI Global, 2018, pp. 43-56. https://doi.org/10.4018/978-1-5225-3445-7.ch003

APA

Singh, A. P. & Tomar, P. (2018). Deployment and Optimization for Cloud Computing Technologies in IoT. In P. Tomar & G. Kaur (Eds.), Examining Cloud Computing Technologies Through the Internet of Things (pp. 43-56). IGI Global. https://doi.org/10.4018/978-1-5225-3445-7.ch003

Chicago

Singh, Aditya Pratap, and Pradeep Tomar. "Deployment and Optimization for Cloud Computing Technologies in IoT." In Examining Cloud Computing Technologies Through the Internet of Things, edited by Pradeep Tomar and Gurjit Kaur, 43-56. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3445-7.ch003

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Abstract

Cloud computing has proven itself and is accepted in industrial applications. Cloud computing is based on the co-existence and co-working of various technologies and services from different sources that together make cloud computing a success. Over the last few years, the Internet of Things (IoT) has been widely studied and being applied. The blending of these two efficient technologies may provide an intelligent perception about usage of resources on demand and efficient sharing. The adoption of these two different technologies and usage is likely to be more and more pervasive, making them important components of the future internet-based systems. This chapter focuses on the deployment models of cloud computing in relation to IoT. The implications of cloud computing in view of deployment are discussed. The issues for deployment and optimization related to the merger of IoT with cloud computing are raised.

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