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Titlebook: Resource Management for Internet of Things; Flávia C. Delicato,Paulo F. Pires,Thais Batista Book 2017 The Editor(s) (if applicable) and Th

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发表于 2025-3-21 19:31:32 | 显示全部楼层 |阅读模式
书目名称Resource Management for Internet of Things
编辑Flávia C. Delicato,Paulo F. Pires,Thais Batista
视频video
概述Provides insights into the management of dynamic and varied resources within IoT from the data acquisition to the delivering of services for end usersExplores the emerging field of Internet of Things
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Resource Management for Internet of Things;  Flávia C. Delicato,Paulo F. Pires,Thais Batista Book 2017 The Editor(s) (if applicable) and Th
描述This book investigates the pressing issue of resource management for Internet of Things (IoT). The unique IoT ecosystem poses new challenges and calls for unique and bespoke solutions to deal with these challenges. Using a holistic approach, the authors present a thorough study into the allocation of the resources available within IoT systems to accommodate application requirements. This is done by investigating different functionalities and architectural approaches involved in a basic workflow for managing the lifecycle of resources in an IoT system.. .Resource Management for the Internet of Things .will be of interest to researchers and students as well as professional developers interested in studying the IoT paradigm from data acquisition to the delivery of value-added services for the end user. .
出版日期Book 2017
关键词internet of things; cloud of things; resource scheduling; resource allocation; IoT systems
版次1
doihttps://doi.org/10.1007/978-3-319-54247-8
isbn_softcover978-3-319-54246-1
isbn_ebook978-3-319-54247-8Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 22:43:06 | 显示全部楼层
Flávia C. Delicato,Paulo F. Pires,Thais Batistaattern in different growing seasons. Khatijapura village in Karnataka is entirely a rainfed village with limited groundwater development. Crops are grown in both kharif and rabi seasons and to a limited extent in summer. Cropping in different seasons is practiced and characterized by small to medium
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Flávia C. Delicato,Paulo F. Pires,Thais Batista) to coastal environments, the Marche Region (the Adriatic side of Central Italy), is characterized by many different types of climate. In this region there are no fully satisfactory models to interpolate and generalize rainfall data from the 111 available meteorological recording stations; however,
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Flávia C. Delicato,Paulo F. Pires,Thais Batistais limited by the cloudy and obscure weather conditions during monsoon season. Microwave signal can penetrate cloud, haze, and fog making it suitable for mapping and monitoring of crops in all weather conditions. The interaction of the microwave with the crop canopy is greatly influenced by the seno
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r making appropriate government policies. Statistical regression method using meteorological parameters is one of the most widely used crop yield forecasting methods. With the help of statistical regression, it is possible to forecast the sugarcane yield a few months before the harvest. But there is
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Concluding Remarks and Open Issues,ation regarding the activities addressed by the works discussed throughout the Book and the open issues identified. There are still several research opportunities to be explored in the field of resource management in order to tackle all the challenges posed by the IoT ecosystems in this context.
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