Hálózatszéttervezést

Hálózatszéttervezést translates to network partitioning in English. It is a concept in distributed systems where a network failure causes a split in the network, making it impossible for nodes in different partitions to communicate with each other. This partitioning can lead to inconsistencies and conflicts within the system, as different parts of the system may operate independently and make conflicting decisions.

When network partitioning occurs, each partition typically operates as if it were the only part of the system, potentially leading to duplicate data or conflicting updates. The system's ability to handle such partitions is a critical aspect of its fault tolerance. Strategies to mitigate the effects of network partitioning include using consensus algorithms like Paxos or Raft, which ensure that all nodes agree on the state of the system even in the presence of failures. Another approach is to design systems that prioritize availability over consistency during partitions, often referred to as the AP model in the CAP theorem, or prioritize consistency over availability, known as the CP model.

Detecting and recovering from network partitions is a significant challenge in distributed systems. Systems must have mechanisms to detect when a partition has occurred, attempt to resolve the inconsistencies once the network is restored, and ensure that the system eventually reaches a consistent state. The specific implementation and handling of network partitioning depend heavily on the requirements and design of the distributed system.