About IBM Platform Session Scheduler

While traditional LSF job submission, scheduling, and dispatch methods such as job arrays or job chunking are well suited to a mix of long and short running jobs, or jobs with dependencies on each other, Session Scheduler is ideal for large volumes of independent jobs with short run times.

As clusters grow and the volume of workload increases, the need to delegate scheduling decisions increases. Session Scheduler improves throughput and performance of the LSF scheduler by enabling multiple tasks to be submitted as a single LSF job.

Session Scheduler implements a hierarchal, personal scheduling paradigm that provides very low-latency execution. With very low latency per job, Session Scheduler is ideal for executing very short jobs, whether they are a list of tasks, or job arrays with parametric execution.

The Session Scheduler provides users with the ability to run large collections of short duration tasks within the allocation of an LSF job using a job-level task scheduler that allocate resources for the job once, and reuses the allocated resources for each task.

Each Session Scheduler is dynamically scheduled in a similar manner to a parallel job. Each instance of the ssched command then manages its own workload within its assigned allocation. Work is submitted as a task array or a task definition file.