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Titlebook: Energy Conservation Solutions for Fog-Edge Computing Paradigms; Rajeev Tiwari,Mamta Mittal,Lalit Mohan Goyal Book 2022 The Editor(s) (if a

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發(fā)表于 2025-3-21 16:49:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Energy Conservation Solutions for Fog-Edge Computing Paradigms
編輯Rajeev Tiwari,Mamta Mittal,Lalit Mohan Goyal
視頻videohttp://file.papertrans.cn/311/310205/310205.mp4
概述Discusses energy efficiency concerns in fog–edge computing.Is useful for computing engineers and scientists working on big data and IoT technologies.Serves as a reference for researchers and practitio
叢書名稱Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Energy Conservation Solutions for Fog-Edge Computing Paradigms;  Rajeev Tiwari,Mamta Mittal,Lalit Mohan Goyal Book 2022 The Editor(s) (if a
描述This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
出版日期Book 2022
關(guān)鍵詞Fog Computing; Edge Computing; Energy Conservations; Internet of Things; Energy Efficient Models; Industr
版次1
doihttps://doi.org/10.1007/978-981-16-3448-2
isbn_softcover978-981-16-3450-5
isbn_ebook978-981-16-3448-2Series ISSN 2367-4512 Series E-ISSN 2367-4520
issn_series 2367-4512
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment,mputation capabilities of mobile nodes and IoT (Internet of Things) devices by providing compute and storage capabilities similar to the cloud but at a lower latency and using lesser bandwidth. Additional advantages of fog computing include its support for node mobility, context awareness, reliabili
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Fog-Computing: A Novel Approach for Cloud-Based Devices Using Perceptual Cloning Manifestation-PerCmputation of big-data under the cloud structure has an emerging need to support the time-sensitive applications over the existing intelligence services. Increase in volume of load leads to increased latency time and reduces the overall efficiency of the services due to access delay. Hence a systemat
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Performance Evaluation and Energy Efficient VM Placement for Fog-Assisted IoT Environment,-sensitive applications low powered end devices which use IoT devices and sensors, a new computing paradigm “Fog Computing” has come into the picture. Virtual machines (VMs) inside the fog nodes are responsible for immediate processing and analyzing the IoT workloads. One of the open research proble
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,Fog Computing in Industry 4.0: Applications?and?Challenges—A Research?Roadmap,industrial processes in which no human intervention is needed for regular working. An advanced concept i.e. Industrial Internet of Things (IIoT) evolved with the appliance of Internet of Things (IoT) in industrial processes; gave a new dimension to the technological advancements in the industrial se
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Fog Computing Based Architecture for Smart City Projects and Applications, providing flexible services at the edge of the network. The onset of fog computing has catered solutions to many applications, Smart City projects being one of them. Fog computing has the potential to deliver an impact in smart city projects, as the former application involves economic and social a
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