Communication Paradigms in Distributed Systems
Communication paradigms, in turn, give us a way to understand how nodes in distributed computing systems exchange data and perform their functions. Application layer protocols consist of various models, among which are the message passing model in which nodes send and receive messages between each other, remote procedure call (RPC) model in which nodes are invoked to execute a function or procedure on a remote node, and publish and subscribe mechanism, in which nodes subscribe to topics of their interest and get notified when events occur.
- Each paradigm is characterized by its own set of characteristics, such as complexity, overload, and fault tolerance.
- The trade-off choice therefore depends on the specific system’s requirements and limitations.
Key Elements of Distributed Systems
In this article we will explore key elements of distributed systems such as system assumptions, communication paradigms, synchronization, consistency models, failure handling, security considerations, and performance metrics. Understanding these elements is crucial for designing robust distributed systems.
Important Topics for Key Elements of Distributed Systems
- System Assumptions in Distributed Systems
- Communication Paradigms in Distributed Systems
- Synchronization and Coordination in Distributed Systems
- Consistency Models in Distributed Systems
- Failure Handling in Distributed Systems
- Security Considerations in Distributed Systems
- Performance Metrics in Distributed Systems