Interprocess Communication in Distributed Systems

Last Updated : 23 Mar, 2026

Interprocess Communication (IPC) enables processes running on different network machines to exchange data and coordinate their operations.

  • Occurs between processes located on separate physical nodes
  • Relies on network protocols for data transmission
  • Supports interaction among independent system components
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IPC

Need and Core Communication Characteristics of IPC

  • Used to share memory directly for the processes that run on different machines.
  • Each communication process is identified using a unique endpoint.
  • Depends on message-based communication to coordinate tasks across multiple nodes.
  • Data must be serialized into a transferable format before being transmitted over the network.
  • Communication can be synchronous or asynchronous, depending on system design.

IPC Mechanisms Used in Distributed Systems

1. Message Passing

It is a communication mechanism in which processes exchange information by sending and receiving structured messages over a network.

  • Processes communicate without sharing memory.
  • It supports both synchronous and asynchronous operations.
  • Messages contain data along with control information.
  • It is the fundamental communication model in distributed systems.

2. Remote Procedure Call (RPC)

This is a mechanism that allows a process to invoke a function on a remote machine as if it were a local procedure call.

  • It follows a request–response communication model.
  • The system handles parameter conversion and message formatting automatically.
  • It hides low-level networking complexity from developers.
  • It simplifies client–server application development.
  • It is widely used in distributed services and microservices.

3. Sockets

It is a network communication endpoint that enables data exchange between applications running on different machines.

  • It operates over transport protocols such as TCP or UDP.
  • UDP sockets provide faster but connectionless communication.
  • Applications must manage connections and data transfer explicitly.
  • It is commonly used in web servers and network applications.

4. Message Queuing

It is a communication mechanism where messages are stored in a queue until they are processed by the receiving application.

  • It enables asynchronous communication between components.
  • Messages remain stored until successfully delivered.
  • It improves system reliability and fault tolerance.
  • It supports load distribution among multiple consumers.

5. Publish–Subscribe Model

This is a messaging pattern where publishers send messages to topics, and subscribers receive messages based on their topic subscriptions.

  • Messages are organized into logical categories called topics.
  • Multiple subscribers can receive the same message.
  • It supports dynamic addition of publishers and subscribers.
  • It enhances scalability in distributed systems

Advantages

  • Allows the development of distributed applications where components work across different machines.
  • It make system scalable by adding new nodes and services without redesigning the complete system.
  • Distributes workload by allowing tasks to proceed on different machines simultaneously.
  • Maintains and deploys system components without affecting the complete system.

Disadvantages

  • Message transmission and system responsiveness can be slow down due to network latency and limited bandwidth.
  • Coordination between processes is disrupted due to message loss, duplication or node crash.
  • Securing transmitted data is necessary to prevent unauthorized access, interception, or tampering.
  • Due to concurrent operations, data consistency in multiple nodes may be disturbed.

Applications

  • A web client sends a request to a remote application server through the network.
  • The server receives the request and forwards it to the appropriate service or process for execution.
  • The requested operation, such as fetching data from a database, is performed on the server machine.
  • The processed result is converted into a transferable format and prepared for transmission.
  • The response is sent back over the network to the client, which then displays or uses the received data.
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