How does replication affect scalability in distributed systems?
An example of an AI chatbot conversation about the impact of replication on scalability.
How does replication affect scalability in distributed systems?
Replication can enhance scalability by distributing data across multiple nodes, allowing for parallel processing and improved performance.
What are the trade-offs of using replication for scalability?
The main trade-offs include increased complexity, potential consistency issues, and higher resource consumption.
Can you give examples of systems that use replication?
Sure! Systems like Apache Cassandra, Google Bigtable, and Amazon DynamoDB utilize replication to achieve scalability.
How does replication impact data consistency?
Replication can lead to eventual consistency issues, where updates may not be immediately reflected across all replicas.
What strategies can be used to manage consistency in replicated systems?
Common strategies include using consensus algorithms like Paxos or Raft, and implementing strong consistency models.
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