How does scalability affect message passing in distributed systems?

How does scalability affect message passing in distributed systems?

Scalability in message passing refers to the system's ability to handle increased load by adding resources. It ensures that as more nodes are added, the communication remains efficient.

What are some common challenges in achieving scalability?

Common challenges include network congestion, message latency, and the complexity of managing distributed state across nodes.

Can you explain how load balancing plays a role in scalability?

Load balancing distributes workloads across multiple resources, preventing any single node from becoming a bottleneck, which is crucial for maintaining performance as the system scales.

What strategies can be used to improve scalability?

Strategies include horizontal scaling, optimizing message formats, using efficient routing algorithms, and implementing caching mechanisms.