Book Chapters

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28507

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    Virtual machine migration—a perspective study
    (Springer Verlag service@springer.de, 2018) Joseph, C.; Martin, J.P.; Chandrasekaran, K.; Kandasamy, A.
    The technology of Cloud computing has been ruling the IT world for the past few decades. One of the most notable tools that helped in prolonging the reign of Cloud computing is virtualization. While virtualization continues to be a boon for the Cloud technology, it is not short of its own pitfalls. One such pitfall results from the migration of virtual machines. Though migration incurs an overhead on the system, an efficient system cannot neglect migrating the virtual machines. This work attempts to carry out a perspective study on virtual machine migration. The various migration techniques proposed in the literature have been classified based on the aspects of migration that they consider. A survey of the various metrics that characterize the performance of a migration technique is also done. © 2018, Springer Nature Singapore Pte Ltd.
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    Smart Irrigation System Using Cloud and Internet of Things
    (Springer, 2019) Koduru, K.; Padala, V.G.D.P.R.; Padala, P.
    An intensive utilization of water resources in industries, agriculture, and groundwater consumption by humans for various purposes has degraded the water levels. A focus on effective utilization of water resources with simplified irrigation across different agricultural farms is required with the advancement of technology. This paper presents a framework based on cloud and Internet of things for implementing a smart irrigation system. Based on the defined framework, a use case for automated smart irrigation system is developed and a competent mechanism is defined for effective utilization of excessive water generated from showers to increase the groundwater levels. The use case provides flexibility to farmers for monitoring the farms in real time using the farmer’s cockpit. Here, heterogeneous devices are firmly integrated to empower smart irrigation and to monitor the system in real time. The use case actuation and automation are done based on certain imposed constraints to respond as per inputs and outputs generated by various devices installed in smart irrigation system. © 2019, Springer Nature Singapore Pte Ltd.
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    Futuristic AI convergence of megatrends: IoT and cloud computing
    (wiley, 2022) Pandey, C.; Sahu, Y.K.; Kannan, N.; Rashid Mahmood, M.R.; Sethy, P.K.; Behera, S.K.
    Recent years have seen increasing curiosity among users in migrating their cloud computing and internet-of-things apps. Cloud-based and internet-of-things infra-structures require specialized hardware to enable software and advanced manage-ment strategies to improve performance. Adaptability and autonomous learning capabilities are highly valuable in facilitating the configuration and complex transition of these infrastructures to customers' changing demands and designing adaptable applications. This capacity to self-adapt is increasingly essential, particularly for nonexpert managers and autonomous device applications. Cloud Networking (CN) and the Internet of Things (IoT) have arisen as modern outlets for the ICT movement of the 21st century. In this paper, we carry out a survey of nearly 183 articles on which the latest methodologies have been applied. Also, we discuss the proposed approaches and the reported advantages and limitations. The goal of this survey paper is to offer a brief idea to researchers working in this area. In order to consider the present and future challenges of such a framework, it is important to recognize critical innovations that will allow future implementa-tions. This article examines how three new paradigms (cloud computing, IoT, and artificial intelligence) can affect workspace and business. Also, we describe a range of innovations that propel these paradigms and encourage experts to address the current state and perspective directions. © 2023 Scrivener Publishing LLC.