Distributed System Architecture or Distributed System distributed application distributed computing.

Distributed System Architecture or Distributed System distributed application distributed computing.

Distributed System Architecture: An Overview

What is a Distributed System?

A distributed system is a network of independent computers that work together to achieve a common goal. These systems communicate and coordinate their actions by passing messages.

 Key Concepts:

1. Distributed Application: Software that runs on multiple computers within a distributed system. Examples: Online gaming platforms, cloud-based services.
2. Distributed Computing: The computational process where multiple systems work collaboratively to solve a problem. Examples: Bitcoin mining, SETI@home.

 Types of Distributed System Architectures:

1. Client-Server Model: Clients request services, and servers respond. Example: Web applications.
2. Peer-to-Peer (P2P): All nodes act as both clients and servers. Example: Torrent networks.
3. Three-Tier Architecture: Divides into three layers—Presentation, Logic, and Data. Example: E-commerce applications.
4. Multi-Tier Architecture: Extension of three-tier with more complex layers for scalability. Example: Enterprise-level applications.
5. Microservices Architecture: Independent services communicate through APIs. Example: Netflix, Amazon.

 Characteristics of Distributed Systems:

• Scalability: Can expand by adding more nodes.
• Fault Tolerance: Handles failures and maintains functionality.
• Transparency: Users experience it as a single system.
• Concurrency: Multiple operations run simultaneously.
• Reliability: Ensures accurate and consistent results.

 Challenges in Distributed Systems:

• Network Latency: Delay in data transmission.
• Security Issues: Data breaches and unauthorized access.
• Data Consistency: Maintaining data accuracy across nodes.
• Synchronization: Coordinating processes and data.

 Applications of Distributed Systems:

• Cloud Computing: AWS, Microsoft Azure
• Distributed Databases: Google Bigtable, Amazon DynamoDB
• Telecommunication Networks: VoIP, Skype
• Scientific Computing: Large-scale simulations, genome analysis

 Conclusion:

Distributed systems form the backbone of modern computing, providing scalability, reliability, and efficiency. As technology advances, their importance continues to grow across various domains.

If you need detailed explanations on any specific part, feel free to ask!

Distributed System Architecture or Distributed System distributed application distributed computing.

Module 1 – Distributed System Architectures & Models

Distributed Systems [R17A0522] LECTURE NOTES

Distributed Computing