000 | 04104nam a22005415i 4500 | ||
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001 | 978-3-031-79998-3 | ||
003 | DE-He213 | ||
005 | 20240730165258.0 | ||
007 | cr nn 008mamaa | ||
008 | 220601s2011 sz | s |||| 0|eng d | ||
020 |
_a9783031799983 _9978-3-031-79998-3 |
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024 | 7 |
_a10.1007/978-3-031-79998-3 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aKesidis, George. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _988199 |
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245 | 1 | 3 |
_aAn Introduction to Models of Online Peer-to-Peer Social Networking _h[electronic resource] / _cby George Kesidis. |
250 | _a1st ed. 2011. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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300 |
_aXIII, 111 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 |
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505 | 0 | _aNetworking overview -- Graphs -- Games -- Search in structured networks -- Search in unstructured networks -- Transactions, reputations, and referrals -- False Referrals -- Peer-to-peer file sharing -- Consensus in dynamical belief systems -- Byzantine consensus -- Epidemics. | |
520 | _aThis book concerns peer-to-peer applications and mechanisms operating on the Internet, particularly those that are not fully automated and involve significant human interaction. So, the realm of interest is the intersection of distributed systems and online social networking. Generally, simple models are described to clarify the ideas. Beginning with short overviews of caching, graph theory and game theory, we cover the basic ideas of structured and unstructured search. We then describe a simple framework for reputations and for iterated referrals and consensus. This framework is applied to a problem of sybil identity management. The fundamental result for iterated Byzantine consensus for a relatively important issue is also given. Finally, a straight-forward epidemic model is used to describe the propagation of malware on-line and for BitTorrent-style file-sharing. This short book can be used as a preliminary orientation to this subject matter. References are given for the interested student to papers with good survey and tutorial content and to those with more advanced treatments of specific topics. For an instructor, this book is suitable for a one-semester seminar course. Alternatively, it could be the framework for a semester's worth of lectures where the instructor would supplement each chapter with additional lectures on related or more advanced subject matter. A basic background is required in the areas of computer networking, probability theory, stochastic processes, and queueing. Table of Contents: Networking overview / Graphs / Games / Search in structured networks / Search in unstructured networks / Transactions, reputations, and referrals / False Referrals / Peer-to-peer file sharing / Consensus in dynamical belief systems / Byzantine consensus / Epidemics. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aCooperating objects (Computer systems). _96195 |
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650 | 0 |
_aProgramming languages (Electronic computers). _97503 |
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650 | 0 |
_aTelecommunication. _910437 |
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650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aCyber-Physical Systems. _932475 |
650 | 2 | 4 |
_aProgramming Language. _939403 |
650 | 2 | 4 |
_aCommunications Engineering, Networks. _931570 |
710 | 2 |
_aSpringerLink (Online service) _988206 |
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773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031799976 |
776 | 0 | 8 |
_iPrinted edition: _z9783031799990 |
830 | 0 |
_aSynthesis Lectures on Learning, Networks, and Algorithms, _x2690-4314 _988207 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-79998-3 |
912 | _aZDB-2-SXSC | ||
942 | _cEBK | ||
999 |
_c86215 _d86215 |