000			04218nam a22005055i 4500
999			_c200457892 _d76104
003			TR-AnTOB
005			20231117142234.0
007			cr nn 008mamaa
008			211209s2022 sz | s |||| 0|eng d
020			_a9783030924355
024	7		_a10.1007/978-3-030-92435-5 _2doi
040			_aTR-AnTOB _beng _erda _cTR-AnTOB
041			_aeng
050		4	_aTK5105.5833
072		7	_aTHR _2bicssc
072		7	_aTEC007000 _2bisacsh
072		7	_aTHR _2thema
090			_aTK5105.5833EBK
245	1	0	_aFuture Intent-Based Networking _h[electronic resource] : _bOn the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks / _cedited by Mikhailo Klymash, Mykola Beshley, Andriy Luntovskyy.
250			_a1st ed. 2022.
264		1	_aCham : _bSpringer International Publishing : _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 in Electrical Engineering, _x1876-1119 ; _v831
520			_aThis texSo-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (artificial intelligence and machine learning). As a result, network operation costs, application response times and energy consumption are reduced, network reliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks. The future networks will reach a whole new level of self-awareness, self-configuration, self-optimization, self-recovery and self-protection. This volume consists of 28 chapters, based on recent research on IBN. The volume is a collection of the most important research for the future intent-based networking deployment provided by different groups of researchers from Ukraine, Germany, Slovak Republic, Switzerland, South Korea, China, Czech Republic, Poland, Brazil, Belarus and Israel. The authors of the chapters from this collection present in depth extended research results in their scientific fields. The presented contents are highly interesting while still being rather practically oriented and straightforward to understand. Herewith we would like to wish all our readers a lot of inspiration by studying of the volume! t will be replaced by the correct backcover text as soon as we get it. .
650		0	_aElectrical engineering.
650		0	_aComputational intelligence.
650	1	4	_aElectrical and Electronic Engineering.
650	2	4	_aComputational Intelligence.
653		0	_aSoftware-defined networking (Computer network technology)
700	1		_aKlymash, Mikhailo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBeshley, Mykola. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLuntovskyy, Andriy. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
830		0	_aLecture Notes in Electrical Engineering, _x1876-1119 ; _v831
856	4	0	_uhttps://doi.org/10.1007/978-3-030-92435-5 _3Springer eBooks _zOnline access link to the resource
942			_2lcc _cEBK