Final answer:
The Cluster Master allocates replication jobs across the cluster based on resource availability, task priority, load balancing, and ensuring data redundancy. This involves using algorithms and cluster management software to distribute tasks efficiently and dynamically according to node performance and data criticality.
Step-by-step explanation:
When managing a computing cluster, the Cluster Master plays a pivotal role in allocating replication jobs across the cluster. This is done using a combination of algorithms and cluster management software that determines the most efficient way to distribute tasks. The process considers a variety of factors, including the resource availability, the priority of tasks, the need to balance load among nodes to prevent any single node from becoming a bottleneck, and the goal of ensuring data redundancy and fault tolerance. Several key mechanisms are involved in this allocation process. One is the consistent hashing technique, which helps in evenly distributing the data across the available nodes. Another is monitoring the health and performance of nodes to decide on task allocations dynamically. Moreover, replication tasks may be scheduled based on the criticality of the data or the required redundancy level. The Cluster Master ensures the cluster maintains high availability and reliability through effective replication job management.