Introduction In a distributed system, we use replication to keep a copy of the same data in multiple machines for fault-tolerance (e.g., network partition). All of the difficulty in replication lies in handling changes to replicated data. Linearizability provides certain guarantees on a system, which simplifies interaction of dependent applications by…

Table of Contents - Introduction - What is Serializability? - How to Achieve Serializability? - Why or Why Not Serializability? - How is it Different from Linearizability? - Conclusion Introduction Transactions have been the mechanism for simplifying different issues or faults that could happen in a data system. …

Table of Contents - Introduction - What is Two Phase Commit (2PC)? - When to Use Two Phase Commit? - Caveat in Using Two Phase Commit - How to Implement Two Phase Commit? - Other Similar Algorithms - Conclusion Introduction Consensus is one of the most important and fundamental problems in distributed computing. The…

Table of Contents - Introduction - What is Multi-Leader Replication Strategy? - When to Use Multi-Leader Replication Strategy? - What’s the Complexity in Using Multi-Leader Setup? - Conclusion - What’s Next Introduction Data replication is a process of making multiple copies of data (replicating) and storing them at different locations (machines) to improve the…