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Everything about Replication (computing)

Sharing information to ensure consistency in computing

Replication in computing refers to maintain multiple copies of data, processes, or resources to ensure consistency across redundant components. This fundamental technique spans databases, file systems, and distributed systems, serving to improve availability, fault-tolerance, accessibility, and performance. Through replication, systems can continue operating when components fail (failover), serve requests from geographically distributed locations, and balance load across multiple machines. The challenge lies in maintaining consistency between replicas while managing the fundamental tradeoffs between data consistency, system availability, and network partition tolerance – constraints known as the CAP theorem. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Replication (computing)A 5-minute orientation
  2. Skim a recent paper: AOEHO: A New Hybrid Data Replication Method in Fog Computing for IoT ApplicationInfluential work since 2022
  3. Pick up a classic book: Mathematical Modelling of Chromosome Replication and Replicative StressThe most-reprinted book on the subject
  4. Read the landmark paper: Energy-efficient data replication in cloud computing datacentersCited 172 times
  5. Go sideways: Multi-master replicationA closely related topic
  6. Go sideways: Yahoo SherpaA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Terminology
  2. Database replication
  3. Disk storage replication
  4. File-based replication
  5. Replication within file
  6. Distributed shared memory replication
  7. Primary-backup and multi-primary replication

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics