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Guide to Distributed Algorithms Design, Analysis and Implementation Using Python /

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 th...

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Bibliografiske detaljer
Hovedforfatter: Erciyes, K. (Author)
Institution som forfatter: SpringerLink (Online service)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Undergraduate Topics in Computer Science,
Fag:
Algorithms.
Python (Computer program language).
Design and Analysis of Algorithms.
Python.
Online adgang:https://doi.org/10.1007/978-3-031-79018-8
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Indholdsfortegnelse:
  • 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.

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