Abstract: Methods, systems, and computer-readable media for job scheduling based on job execution history are disclosed. A request is received to schedule a workload comprising a plurality of jobs. A resource allocation score for the workload is determined. The resource allocation score represents (at least in part) an estimated likelihood of successful execution of the workload. A first portion of the workload is scheduled for execution, and a remaining portion (if any) of the workload is delayed. A quantity of jobs in the first portion of the workload is determined based (at least in part) on the resource allocation score. Execution of the first portion of the workload is initiated.

Abstract: A scheduler of a batch job management service determines that a set of resources a client is insufficient to execute one or more jobs. The scheduler prepares a multi-dimensional statistical representation of resource requirements of the jobs, and transmits it to a resource controller. The resource controller uses the multi-dimensional representation and resource usage state information to make resource allocation change decisions.

Abstract: Methods, systems, and computer-readable media for job scheduling based on job execution history are disclosed. A request is received to schedule a workload comprising a plurality of jobs. A resource allocation score for the workload is determined. The resource allocation score represents (at least in part) an estimated likelihood of successful execution of the workload. A first portion of the workload is scheduled for execution, and a remaining portion (if any) of the workload is delayed. A quantity of jobs in the first portion of the workload is determined based (at least in part) on the resource allocation score. Execution of the first portion of the workload is initiated.

Abstract: Techniques are provided for scheduling tasks to a plurality of computing nodes, such as physical computers and virtual machine instances. Based on operational parameters of the computing nodes and process parameters of the compute tasks to be executed, one or more of the computing nodes can be selectively clustered to compute tasks in an optimized manner. As an example, the order in which the tasks are executed can be determined to maintain the optimization of the task execution.

Abstract: Methods, systems, and computer-readable media for event-driven scheduling using directed acyclic graphs are disclosed. A directed acyclic graph is generated that comprises a plurality of nodes and a plurality of edges. The nodes represent jobs, and the edges represent dependency relationships between individual jobs. Based (at least in part) on one or more events, a job scheduler determines that one of the nodes represents a runnable job. One or more of the dependency relationships for the runnable job are satisfied by the one or more events. An execution schedule is determined for the runnable job. Based (at least in part) on the execution schedule, execution of the runnable job is initiated using one or more computing resources.

Abstract: A scheduler of a batch job management service determines that a set of resources a client is insufficient to execute one or more jobs. The scheduler prepares a multi-dimensional statistical representation of resource requirements of the jobs, and transmits it to a resource controller. The resource controller uses the multi-dimensional representation and resource usage state information to make resource allocation change decisions.