Deployment and Optimization for Cloud Computing Technologies in IoT

Deployment and Optimization for Cloud Computing Technologies in IoT

Aditya Pratap Singh (Ajay Kumar Garg Engineering College, India) and Pradeep Tomar (Gautam Buddha University, India)
DOI: 10.4018/978-1-5225-3445-7.ch003

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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Deployment Models

The method of providing cloud services to end users is termed as a deployment model. To exploit the full advantages of cloud services in technical and economic respect, the cloud services are to be deployed and implemented successfully. The implementation is an activity of deployment, as only by utilizing cloud services does not make an organization different from other organizations doing business in the same domain. The other same domain organizations can also implement cloud services following as model resulting IT efficiencies. The efficient deployment of cloud services indicates the realization of distinct organizational benefits to differentiate and take competitive advantage from other organizations of the same domain (Garrison, Kim, & Wakefield, 2012). The benefits with IT-oriented success can be categorized as strategic, economic and technological benefits. The strategic benefits refer here to have full focus on organizations core activities by shifting its IT functions to cloud computing provider fully or in part. An economic benefit refers to reduces IT expenses by using cloud computing vendor’s expertise and technical resources. Technological benefits refer to reduced risk and cost related to having in-house technological resources by having access to state-of-the-art technology and skilled personnel. The deployment models for the cloud services play an important role for the benefits related to strategy, economic and technological. The organization utilizing cloud services has to use some of its own IT resources and capabilities to have a required control over the resources provided by the cloud vendor. This is treated as optimizing cloud benefits.

The different deployment models for cloud services are identified in the literature (Mell 2009, Zhang 2010):

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