國立高雄大學圖資館 |

登入

回首頁

Guide to distributed algorithmsdesign, analysis and implementation using Python /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Guide to distributed algorithmsby K. Erciyes.
其他題名:	design, analysis and implementation using Python /
作者:	Erciyes, K.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xiv, 298 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Distributed algorithms.
電子資源:	https://doi.org/10.1007/978-3-031-79018-8
ISBN:	9783031790188$q(electronic bk.)

Guide to distributed algorithmsdesign, analysis and implementation using Python /
Erciyes, K.

Guide to distributed algorithmsdesign, analysis and implementation using Python /[electronic resource] :by K. Erciyes. - Cham :Springer Nature Switzerland :2025. - xiv, 298 p. :ill. (some col.), digital ;24 cm. - Undergraduate topics in computer science,2197-1781. - Undergraduate topics in computer science..

Part I: Background - 1. Introduction -- 2. Basic Concepts -- 3. Models -- Part II: Fundamental Algorithms -- 4. Time Management -- 5. Distributed Mutual Exclusion -- 6. Distributed Snapshots and Global States -- 7. Coordination -- 8. Fault Tolerance -- 9. Consensus and Agreement -- 10. Multicast Communication and Message Ordering -- 11. Distributed Transactions and Replication -- Part III: Distributed Graph Algorithms - 12. Trees and Traversals -- 13. Weighted Graphs -- 14. Graph Decomposition -- Part IV: Applications -- 15. Mobile Ad hoc Networks -- 16. Wireless Sensor Networks. 17. The Internet and the Internet of Things.

The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases. The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing. Topics and features: Presents comprehensive design methods for distributed algorithms Provides detailed analysis for the algorithms presented Uses graph templates to demonstrate the working of algorithms Provides working Python code for most of the algorithms presented This unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects. Dr. K. Erciyes is a professor of Computer Engineering at Yaşar University, İzmir, Turkiye. His other publications include the Springer titles Distributed Graph Algorithms for Computer Networks, Distributed and Sequential Algorithms for Bioinformatics, Guide to Graph Algorithms, Distributed Real-Time Systems, Discrete Mathematics and Graph Theory and Algebraic Graph Algorithms.

ISBN: 9783031790188$q(electronic bk.)

Standard No.: 10.1007/978-3-031-79018-8doiSubjects--Topical Terms:

714732
Distributed algorithms.

LC Class. No.: QA76.58

Dewey Class. No.: 005.13

Guide to distributed algorithmsdesign, analysis and implementation using Python /
LDR:03114nmm a2200337 a 4500 001 677407
003 DE-He213
005 20250422130227.0
006 m d
007 cr nn 008maaau
008 251021s2025 sz s 0 eng d
020 $a 9783031790188$q(electronic bk.)
020 $a 9783031790171$q(paper)
024 7 $a 10.1007/978-3-031-79018-8 $2 doi
035 $a 978-3-031-79018-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.58
072 7 $a UYA $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UYA $2 thema
082 0 4 $a 005.13 $2 23
090 $a QA76.58 $b .E65 2025
100 1 $a Erciyes, K. $3 731210
245 1 0 $a Guide to distributed algorithms $h [electronic resource] : $b design, analysis and implementation using Python / $c by K. Erciyes.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiv, 298 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Undergraduate topics in computer science, $x 2197-1781
505 0 $a Part I: Background - 1. Introduction -- 2. Basic Concepts -- 3. Models -- Part II: Fundamental Algorithms -- 4. Time Management -- 5. Distributed Mutual Exclusion -- 6. Distributed Snapshots and Global States -- 7. Coordination -- 8. Fault Tolerance -- 9. Consensus and Agreement -- 10. Multicast Communication and Message Ordering -- 11. Distributed Transactions and Replication -- Part III: Distributed Graph Algorithms - 12. Trees and Traversals -- 13. Weighted Graphs -- 14. Graph Decomposition -- Part IV: Applications -- 15. Mobile Ad hoc Networks -- 16. Wireless Sensor Networks. 17. The Internet and the Internet of Things.
520 $a The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases. The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing. Topics and features: Presents comprehensive design methods for distributed algorithms Provides detailed analysis for the algorithms presented Uses graph templates to demonstrate the working of algorithms Provides working Python code for most of the algorithms presented This unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects. Dr. K. Erciyes is a professor of Computer Engineering at Yaşar University, İzmir, Turkiye. His other publications include the Springer titles Distributed Graph Algorithms for Computer Networks, Distributed and Sequential Algorithms for Bioinformatics, Guide to Graph Algorithms, Distributed Real-Time Systems, Discrete Mathematics and Graph Theory and Algebraic Graph Algorithms.
650 0 $a Distributed algorithms. $3 714732
650 0 $a Python (Computer program language) $3 215247
650 1 4 $a Design and Analysis of Algorithms. $3 913142
650 2 4 $a Algorithms. $3 184661
650 2 4 $a Python. $3 763308
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Undergraduate topics in computer science. $3 559648
856 4 0 $u https://doi.org/10.1007/978-3-031-79018-8
950 $a Computer Science (SpringerNature-11645)