Given an extremely long-running job, which cluster configuration can guarantee completion in light of VM failures?

The configuration of having 16 total VMs with 25 GB of memory per executor and 10 cores per executor is advantageous for handling extremely long-running jobs, particularly due to its resilience in the face of VM failures.

This setup distributes the workload across a larger number of VMs, which enhances fault tolerance. In the event of a VM failure, the job can easily be restarted on another VM without significant resource wastage. The relatively smaller size of each executor (25 GB and 10 cores) allows for more nodes to participate in the computation, which means that even if a few nodes fail, the overall processing power remains sufficient to complete the job in a reasonable time frame.

Moreover, this configuration strikes a balance between resource allocation and redundancy. Having more VMs ensures that there is a backup for job execution in case of failures, while also optimizing for performance with sufficient memory and cores. In contrast, configurations with fewer VMs or more resource-intensive executors may not offer the same level of reliability, as they would be more susceptible to prolonged downtime if a node fails.

Thus, the chosen configuration not only supports completion but is designed to withstand potential disruptions, making it the best choice for long-running jobs that require assurance of task completion