Introduction to Distributed System

A distributed system is a group of independent computers, called nodes, that work together as a single system. These nodes communicate over a network to share data, resources, and tasks to achieve a common goal. It ensures coordination between multiple systems while appearing unified to the user.

• Consists of multiple independent computers (nodes) working together in a network.
• Nodes communicate and share data, resources, and tasks efficiently.
• Appears as a single system to users, and failure of one node does not stop the entire system.

Example: An online shopping platform like Amazon uses distributed systems where multiple servers handle different tasks such as product search, payments, and order processing. Even if one server fails, the platform continues to function without affecting the user experience.

Real-World Examples

These examples show how distributed systems are used in real applications to handle large-scale data, improve performance, and ensure reliability.

• Online Banking Systems: Banks use distributed systems where branches and ATMs share data with central servers while operating independently, ensuring continuous transactions
• E-Commerce Platforms: Platforms like Amazon or Flipkart process orders, payments, and inventory across multiple servers to handle high traffic and ensure smooth user experience
• Social Media Platforms: Applications like Facebook, Twitter, and Instagram use multiple data centers to store and process massive user data efficiently
• Online Gaming Systems: Multiplayer games like PUBG distribute game states across servers to reduce latency and provide real-time gaming experience

Types of Distributed Systems

Distributed systems can be classified into different types based on how nodes are organized, how they communicate, and how tasks are distributed across the system.

1. Client-Server Systems

A client-server system is a distributed system where a central server provides services and multiple clients request those services over a network.

• Server manages data and processing
• Clients send requests and receive responses

Example: Gmail or online banking systems.

2. Peer-to-Peer (P2P) Systems

A peer-to-peer system is a distributed system where all nodes are equal and can act as both client and server without a central authority.

• No central server exists
• Nodes directly share resources with each other

Example: BitTorrent, blockchain networks.

3. Clustered Systems

A clustered system is a group of closely connected computers that work together as a single system to improve performance and reliability.

• Nodes work in a tightly connected network
• Tasks are shared for high performance

Example: Google search clusters, supercomputers.

4. Cloud-Based Distributed Systems

A cloud-based distributed system uses cloud infrastructure where computing resources are distributed across multiple data centers and accessed over the internet.

• Resources are scalable on demand
• Services are accessed over the internet

Example: AWS, Microsoft Azure, Google Cloud.

Working

A distributed system works by dividing tasks among multiple nodes, which communicate and coordinate over a network to achieve a common goal.

• Each node runs its own application and maintains local data
• Nodes communicate through the network using protocols or middleware services
• Data and tasks are distributed across nodes for parallel processing
• Nodes process data locally and share results with other nodes when required
• Data may be stored in distributed databases instead of a single centralized system
• The system ensures coordination, consistency, and fault tolerance across all nodes

Advantages

Distributed systems offer multiple benefits that improve performance, scalability, and reliability of applications.

• Resource sharing improves efficiency by allowing nodes to share data, files, and hardware, reducing overall system costs.
• Scalability allows the system to handle increasing workloads easily by adding more nodes without major changes.
• Reliability and fault tolerance ensure that failure of one node does not crash the entire system, maintaining continuous operation.
• Performance is improved as workloads are distributed across multiple nodes, enabling faster processing and response times.

Disadvantages

Despite their benefits, distributed systems also introduce challenges related to complexity, security, and data management.

• Complexity makes designing, managing, and maintaining distributed systems more difficult than centralized systems.
• Security challenges arise due to multiple nodes, increasing the risk of unauthorized access and cyberattacks.
• Network dependency means system performance heavily relies on network speed, latency, and reliability.
• Data consistency issues occur when keeping data synchronized across multiple nodes, especially in real-time systems.

Difference Between Distributed Systems and Microservices

Distributed systems and microservices are related concepts, but they are not the same. They differ in purpose and scope within software architecture.

Distributed System

A distributed system is a collection of multiple independent computers (nodes) that work together and appear as a single system.

• Focuses on coordination and communication between multiple machines
• Used to improve scalability, performance, and reliability

Microservices

Microservices is an architectural style where an application is divided into small, independent services that communicate over a network.

• Focuses on designing applications as loosely coupled services
• Each service handles a specific functionality and can be developed and deployed independently

Difference

• All microservices-based applications are distributed systems
• Not all distributed systems follow a microservices architecture

Also Check

• Centralized system Vs Distributed system
• Architectures of Distributed systems