| 000 | 03568nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-14256-7 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125007.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220831s2022 sz | s |||| 0|eng d | ||
| 020 |
_a9783031142567 _9978-3-031-14256-7 |
||
| 024 | 7 |
_a10.1007/978-3-031-14256-7 _2doi |
|
| 050 | 4 | _aTK5105.5-.9 | |
| 072 | 7 |
_aUT _2bicssc |
|
| 072 | 7 |
_aCOM043000 _2bisacsh |
|
| 072 | 7 |
_aUT _2thema |
|
| 082 | 0 | 4 |
_a621.3821 _223 |
| 082 | 0 | 4 |
_a004.6 _223 |
| 100 | 1 |
_aVass, Balázs. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aRegional Failure Events in Communication Networks _h[electronic resource] : _bModels, Algorithms and Applications / _cby Balázs Vass. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
| 300 |
_aXIV, 119 p. 38 illus., 28 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
|
| 505 | 0 | _aIntroduction -- Formal Problem Statement -- RelatedWork -- Algorithmic Background. | |
| 520 | _aThis 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 | _aComputer Networks. | |
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aGeometry. | |
| 650 | 0 | _aStatistics . | |
| 650 | 0 | _aSystem theory. | |
| 650 | 1 | 4 | _aComputer Networks. |
| 650 | 2 | 4 | _aComputational Geometry. |
| 650 | 2 | 4 | _aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. |
| 650 | 2 | 4 | _aComplex Systems. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031142550 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031142574 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031142581 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5061 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-14256-7 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c173030 _d173030 |
||