Oracle International Corporation

Mohini Mohana Sahoo

Deepankar Narayanan

Ramasimha Rangaraju

Raghu Edalur

Virad Gupta

Vivek Verma

Ravi Shankar

Sharath Kumar Madenahatti Nanjaiah

A system is presented to efficiently communication data between a sub-network and a third-party application system, such that the third-party application system is able to perform one or more functions based on data sourced from the sub-network. A process scheduler system is presented to provide multiple communication paths to populate a data store of the third-party application system.

Distributed communication and task handling to facilitate operations of application system

Embodiments of the invention provide systems and methods for scheduling and executing user-restricted processes within distributed computing systems. More specifically, certain embodiments of the present invention describe systems and methods by which runtime requests to execute user-restricted processes may be received, processed, and scheduled via a user application of an enterprise system or other distributed computing system. Requests may be received via transaction pages of user applications to schedule and execute user-restricted processes. The user application, a process scheduler, and/or other components within the distributed computing system may determine user contexts associated with the requests, and may determine whether or not the requested processes may be scheduled and executed. Such processes may include, for example, report generation processes, processes to initiate system functions, and/or processes to perform system maintenance within the distributed computing environment.

Process scheduling and execution in distributed computing environments

Various techniques are described herein for creating data partition process schedules and executing such partition schedules using multiple parallel process instances. Data processing tasks initiated by or for applications may be executed by creating and executing partition schedules, in which a number of different process instances are created and each assigned a subset of data to process. Partition schedules may be used to determine a number of process instances to be created, and each process instance may be assigned a unique set of run-time data values corresponding to a unique set of parameters within the data set to be processed by the application. The process instances may operate independently and in parallel to retrieve and process separate partitions of the data required for the overall data processing task initiated by/for the application.

Managing parallel processes for application-level partitions

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Bengaluru, India

Mohini Mohana Sahoo