README.md

Author: Cizr

Diff for: README.md

@@ -1,2 +1,19 @@
-# Distributed-Algorithms-Analysis
-distributed algorithms for various network topologies, including tree-based election, flooding, broadcasting, saturation, and eccentricity calculations. This repository hosts Python implementations inspired by N. Santoro's 'Design and Analysis of Distributed Algorithms' (2006). 
+## Distributed-Algorithms-Analysis
+
+This repository hosts Python implementations of distributed algorithms tailored for various network topologies, covering essential concepts such as tree-based election, flooding, broadcasting, saturation, and eccentricity calculations. These implementations draw inspiration from N. Santoro's seminal work, *Design and Analysis of Distributed Algorithms* (2006).
+
+## About Distributed Systems
+
+Distributed systems represent collections of independent computers seamlessly integrated to function as a unified entity, facilitating collaborative efforts to achieve shared objectives. These systems find extensive application across diverse domains, including communication networks, data networks, grid networks, and the Internet.
+
+The principles and methodologies encapsulated within this repository transcend specific architectures, offering universal insights into algorithmic design and protocol development tailored to distributed computing environments. 
+
+## Repository Structure
+
+Currently, the repository contains the following algorithms, with more to be added soon:
+- **Tree-Based Election**: Contains algorithms for leader election in tree network topologies.
+- **Flooding/Broadcasting**: Features flooding/broadcasting algorithms designed to deliver messages to all nodes within a network (for efficient dissemination of information across networks).
+- **Saturation**: Includes saturation algorithms aimed at attaining global knowledge within distributed systems.
+- **Eccentricity Calculations**: Provides implementations of algorithms for calculating eccentricity within network structures.
+
+Each folder comprises specific implementations accompanied by a README.md file furnishing comprehensive explanations of the code's contents and objectives.