Replication Algorithms
Replication algorithms enable those processes of replicating multiple instructions of data in different nodes, which boosts the level of fault tolerance, availability, and performance.
- They tell us how to distribute data, replicate it, and synchronize it to have consistency and resistance in distributed databases, file systems, and web servers’ environments.
- For instance, approaches like quorum-based replication, eventual consistency, and conflict resolution algorithms can cope with the challenges of replication backups while at the same time reducing overhead and cost.
Distributed System Algorithms
Distributed systems are the backbone of modern computing, but what keeps them running smoothly? It’s all about the algorithms. These algorithms are like the secret sauce, making sure everything works together seamlessly. In this article, we’ll break down distributed system algorithms in simple language.
Important Topics for Distributed System Algorithms
- Communication Algorithms
- Synchronization Algorithms
- Consensus Algorithms
- Replication Algorithms
- Distributed Query Processing Algorithms
- Load Balancing Algorithms
- Distributed Data Structures and Algorithms
- Failure Detection and Failure Recovery Algorithms
- Security Algorithms for a Distributed Environment