000			03581nam a22004335i 4500
001			394010
003			ES-MaUEC
005			20230102123047.0
007			cr nn 008mamaa
008			220921s2022 sz | s |||| 0|eng d
020			_a9783031101861
024	7		_a10.1007/978-3-031-10186-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aWang, Xiaofei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aIntegrating Edge Intelligence and Blockchain _bWhat, Why, and How _cby Xiaofei Wang, Chao Qiu, Xiaoxu Ren, Zehui Xiong, Victor C M Leung, Dusit Niyato
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XII, 111 páginas) _b24 ilustraciones, 23 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aWireless Networks _x2366-1445
505	0		_aIntroduction -- Fundamentals of Edge Intelligence and Blockchain -- Edge Intelligence -- Blockchain -- Motivations of EI-chain and Chain-intelligence -- The Benefit of EI-chain and Chain-intelligence -- EI-Chain -- Chain-Intelligence: Intelligentializing Blockchain -- Beyond Edge -- Multi-role Applications for Consensus Protocol -- Conclusion.
520			_aThis book examines whether the integration of edge intelligence (EI) and blockchain (BC) can open up new horizons for providing ubiquitous intelligent services. Accordingly, the authors conduct a summarization of the recent research efforts on the existing works for EI and BC, further painting a comprehensive picture of the limitation of EI and why BC could benefit EI. To examine how to integrate EI and BC, the authors discuss the BC-driven EI and tailoring BC to EI, including an overview, motivations, and integrated frameworks. Finally, some challenges and future directions are explored. The book explores the technologies associated with the integrated system between EI and BC, and further bridges the gap between immature BC and EI-amicable BC. Explores the integration of edge intelligence (EI) and blockchain (BC), including their integrated motivations, frameworks and challenges; Presents how BC-driven EI can realize computing-power management, data administration, and model optimization; Describes how to tailor BC to better support EI, including flexible consensus protocol, effective incentive mechanism, intellectuality smart contract, and scalable BC system tailoring; Presents some key research challenges and future directions for the integrated system.
700	1		_aQiu, Chao _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aRen, Xiaoxu _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aXiong, Zehui _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aLeung, Victor C. M _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aNiyato, Dusit _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9783031101854
776	0	8	_iPrinted edition: _z9783031101878
776	0	8	_iPrinted edition: _z9783031101885
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-10186-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c394010 _d394010