Oracle International Corporation

Ashish Mahendru

Alexandre De Castro Alves

Prabhu Thukkaram

Unmesh Anil Deshmukh

Yogesh Bedekar

Sandeep Bishnoi

Yathish Gatty

Prabish Kumar

Some event ordering requirements can be determined based on continuous event processing queries. Other event ordering requirements can be determined based on distribution flow types being used to distribute events from event streams to node executing the queries. Events from event streams can be ordered according to ordering semantics that are based on a combination of all of these event ordering requirements. Additionally, virtual computing nodes can be associated with constraints, and computing processors can be associated with capabilities. Virtual computing nodes for processing event streams can be assigned to execute on various computing processors based on both these constraints and capabilities. Additionally, for each of several events in an event stream, a ratio between a total latency and a communication latency can be for determined. Based on an average of these ratios, a quantity of reducing nodes that will be involved in a map-reduce operation can be selected.

Scaling event processing using distributed flows and map-reduce operations

Enriching events with dynamically typed big data for event processing

Techniques for embedded event processing are provided. In some examples, instructions for executing at least a subset of complex event processing features may be received. A stream of events received by the edge computing device may be identified. Additionally, the events of the stream utilizing the subset of complex event processing features may be processed. Further, in some aspects, the processed events may be provided to a complex event platform of a server.

Embedded event processing

Growing community of inventors

Bengaluru, India

Ashish Mahendru