國立高雄大學圖資館 |

Regional failure events in communication networksmodels, algorithms and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Regional failure events in communication networksby Balazs Vass.
其他題名:	models, algorithms and applications /
作者:	Vass, Balazs.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xiv, 119 p. :ill. (some col.), digital ;24 cm.
附註:	"Doctoral thesis accepted by Budapest University of Technology and Economics."
Contained By:	Springer Nature eBook
標題:	Telecommunication systems.
電子資源:	https://doi.org/10.1007/978-3-031-14256-7
ISBN:	9783031142567$q(electronic bk.)

Regional failure events in communication networksmodels, algorithms and applications /
Vass, Balazs.

Regional failure events in communication networksmodels, algorithms and applications /[electronic resource] :by Balazs Vass. - Cham :Springer International Publishing :2022. - xiv, 119 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

"Doctoral thesis accepted by Budapest University of Technology and Economics."

Introduction -- Formal Problem Statement -- RelatedWork -- Algorithmic Background.

This book presents a comprehensive study covering the design and application of models and algorithms for assessing the joint device failures of telecommunication backbone networks caused by large-scale regional disasters. At first, failure models are developed to make use of the best data available; in turn, a set of fast algorithms for determining the resulting failure lists are described; further, a theoretical analysis of the complexity of the algorithms and the properties of the failure lists is presented, and relevant practical case studies are investigated. Merging concepts and tools from complexity theory, combinatorial and computational geometry, and probability theory, a comprehensive set of models is developed for translating the disaster hazard in informative yet concise data structures. The information available on the network topology and the disaster hazard is then used to calculate the possible (probabilistic) network failures. The resulting sets of resources that are expected to break down simultaneously are modeled as a collection of Shared Risk Link Groups (SRLGs), or Probabilistic SRLGs. Overall, this book presents improved theoretical methods that can help predicting disaster-caused network malfunctions, identifying vulnerable regions, and assessing precisely the availability of internet services, among other applications.

ISBN: 9783031142567$q(electronic bk.)

Standard No.: 10.1007/978-3-031-14256-7doiSubjects--Topical Terms:

182452
Telecommunication systems.

LC Class. No.: TK5102.5 / .V37 2022

Dewey Class. No.: 621.382

Regional failure events in communication networksmodels, algorithms and applications /
LDR:02572nmm a2200337 a 4500 001 628911
003 DE-He213
005 20220831200812.0
007 cr nn 008maaau
008 230224s2022 sz s 0 eng d
020 $a 9783031142567$q(electronic bk.)
020 $a 9783031142550$q(paper)
024 7 $a 10.1007/978-3-031-14256-7 $2 doi
035 $a 978-3-031-14256-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5102.5 $b .V37 2022
072 7 $a UT $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a UT $2 thema
082 0 4 $a 621.382 $2 23
090 $a TK5102.5 $b .V336 2022
100 1 $a Vass, Balazs. $3 933395
245 1 0 $a Regional failure events in communication networks $h [electronic resource] : $b models, algorithms and applications / $c by Balazs Vass.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiv, 119 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5061
500 $a "Doctoral thesis accepted by Budapest University of Technology and Economics."
505 0 $a Introduction -- Formal Problem Statement -- RelatedWork -- Algorithmic Background.
520 $a This book presents a comprehensive study covering the design and application of models and algorithms for assessing the joint device failures of telecommunication backbone networks caused by large-scale regional disasters. At first, failure models are developed to make use of the best data available; in turn, a set of fast algorithms for determining the resulting failure lists are described; further, a theoretical analysis of the complexity of the algorithms and the properties of the failure lists is presented, and relevant practical case studies are investigated. Merging concepts and tools from complexity theory, combinatorial and computational geometry, and probability theory, a comprehensive set of models is developed for translating the disaster hazard in informative yet concise data structures. The information available on the network topology and the disaster hazard is then used to calculate the possible (probabilistic) network failures. The resulting sets of resources that are expected to break down simultaneously are modeled as a collection of Shared Risk Link Groups (SRLGs), or Probabilistic SRLGs. Overall, this book presents improved theoretical methods that can help predicting disaster-caused network malfunctions, identifying vulnerable regions, and assessing precisely the availability of internet services, among other applications.
650 0 $a Telecommunication systems. $3 182452
650 0 $a Emergency management. $3 202270
650 1 4 $a Computer Networks. $3 919579
650 2 4 $a Computational Geometry. $3 933396
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 918920
650 2 4 $a Complex Systems. $3 558544
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer theses. $3 557607
856 4 0 $u https://doi.org/10.1007/978-3-031-14256-7
950 $a Computer Science (SpringerNature-11645)