000			03480nam a22003615i 4500
001			395219
003			ES-MaUEC
005			20230110120132.0
007			cr nn 008mamaa
008			210907s2022 si | s |||| 0|eng d
020			_a9789811634482
024	7		_a10.1007/978-981-16-3448-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aEnergy Conservation Solutions for Fog-Edge Computing Paradigms _cedited by Rajeev Tiwari, Mamta Mittal, Lalit Mohan Goyal.
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XV, 307 páginas) _b131 ilustraciones, 104 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
776	0	8	_iPrinted edition: _z9789811634475
776	0	8	_iPrinted edition: _z9789811634499
776	0	8	_iPrinted edition: _z9789811634505
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-3448-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Engineering_2022
999			_c395219 _d395219