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020 _a9789811634482
024 7 _a10.1007/978-981-16-3448-2
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aQA76.9.D5
072 7 _aUT
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072 7 _aTEC007000
_2bisacsh
072 7 _aUT
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090 _aQA76.9.D5EBK
245 1 0 _aEnergy Conservation Solutions for Fog-Edge Computing Paradigms
_h[electronic resource] /
_cedited by Rajeev Tiwari, Mamta Mittal, Lalit Mohan Goyal.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v74
505 0 _aEnergy-aware resource scheduling in FoG environment for IoT-based applications -- DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-oriented IoT Applications in Fog-Cloud Computing Environments -- Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment -- A Sustainable Energy Efficient IoT-Based Solution for Real Time Traffic Assistance using Fog Computing -- Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities -- Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization -- Performance Evaluation and Energy Efficient VM Placement for Fog assisted IoT Environment -- Load Balancing in Fog Computing using QoS -- Fog Computing in Industry 4.0: Applications and Challenges – A Research Roadmap -- Fog Computing based Architecture for Smart City Projects and Applications -- Integration of Fog Computing and IoT Based Energy Harvesting (EHIoT) Model for Wireless Sensor Network -- Design and Development of Efficient Secure Routing Mechanism For Wireless Sensor Network -- Futuristic Communication Systems using Mobile Edge Computing -- Methodology to ensure the continuity of the information systems service, based on the monitoring of electrical energy, using IOT technology.
520 _aThis 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.
650 0 _aInternet of things.
650 0 _aComputer Networks.
650 0 _aCloud Computing.
650 0 _aElectric power distribution.
650 1 4 _aInternet of Things.
650 2 4 _aComputer Networks.
650 2 4 _aCloud Computing.
650 2 4 _aEnergy Grids and Networks.
653 0 _aElectronic data processing -- Distributed processing
653 0 _aInternet of things
700 1 _aTiwari, Rajeev.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMittal, Mamta.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGoyal, Lalit Mohan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
830 0 _aLecture Notes on Data Engineering and Communications Technologies,
_x2367-4520 ;
_v74
856 4 0 _uhttps://doi.org/10.1007/978-981-16-3448-2
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK