Abstract: The method performs at the orchestration interface at which update information, including changes to tasks of a workflow, is received from a task manager system (TMS), where the workflow includes a set of tasks, inputs to the tasks, and outputs from the tasks. The inputs and outputs determine runtime dependencies between the tasks. Based on the update information received, the orchestration interface populates a topology of nodes and edges as a directed acyclic graph (DAG) that maps nodes to tasks and edges to runtime dependencies between tasks, based on node inputs and outputs. The orchestration interface instructs the execution of the tasks and handling dependencies by interacting with a task execution system (TES) and by traversing the DAG, the orchestration interface identifies tasks that depend on completed tasks as per the runtime dependencies and instructs the TES to execute the dependent tasks identified.

Abstract: A computer-implemented method generates an automated data movement workflow. The method includes transforming a received request for data, which was received in a restricted natural language form, into a form suitable for accessing a metadata repository. The method further includes identifying data and data dependencies using the transformed request for data. The method further includes building a workflow using the identified data and data dependencies. The method further includes, upon applying at least one governance rule to the workflow, modifying the built workflow to be compliant with the at least one governance rule, and if no compliance with the at least one governance rule is achievable, recommending a change to the built workflow.

Abstract: Embodiments for identifying an optimal cloud computing environment for a computing task is disclosed. Embodiments comprises receiving a computing task to be executed in a cloud computing environment, wherein the computing task requires a set of cloud computing environment parameter values of the cloud computing environment, pre-selecting a set of candidate cloud computing environments, each of which meets the set of cloud computing environment parameter values, ranking the candidate cloud computing environments using reward-based ranking parameter values of the candidate cloud computing environments as an additional selection constraint, and selecting the highest ranking cloud computing environment as the optimal cloud computing environment for the computing task.

Abstract: The invention relates to a method for adjusting a performance of a computing system, the method comprising receiving by the computing system at least one command to execute a computational workload from a client, applying by the computing system an identification method identifying a first system resource of the system resources which limits an execution performance of the computational workload, performing a temporary adjustment of an allocation of the first system resource to the client and evaluating whether this improves an execution performance of the computational workload, and, if this is the case, offering to the client to permanently adjust the allocation of the first system resource to the client and adjusting the allocation of the first system resource to the client permanently in case of receiving a corresponding instruction from the client. The invention also relates to a computing system and a computer program product which implement the method.

Abstract: The invention relates to a method for adjusting a performance of a computing system, the method comprising receiving by the computing system at least one command to execute a computational workload from a client, applying by the computing system an identification method identifying a first system resource of the system resources which limits an execution performance of the computational workload, performing a temporary adjustment of an allocation of the first system resource to the client and evaluating whether this improves an execution performance of the computational workload, and, if this is the case, offering to the client to permanently adjust the allocation of the first system resource to the client and adjusting the allocation of the first system resource to the client permanently in case of receiving a corresponding instruction from the client. The invention also relates to a computing system and a computer program product which implement the method.