公开(公告)号：US20250095870A1

公开(公告)日：2025-03-20

申请号：US18829927

申请日：2024-09-10

Applicant: Oracle International Corporation

Inventor： Syed Najeeb Andrabi ,  Sachin Goel

IPC: G16H80/00 ,  G16H10/60

Abstract: Techniques are disclosed for stream orchestration for variable-length message streams, including routes specified using an implementation-independent stream orchestration language (SOL). In an example method, a computing system receives a variable-length message, the variable-length message including context information and a payload. The computing system determines, from the context information, routing information that identifies at least one consumer of the variable-length message. The computing system outputs the variable-length message to the consumer.

公开(公告)号：US20250097304A1

公开(公告)日：2025-03-20

申请号：US18829915

申请日：2024-09-10

Applicant: Oracle International Corporation

Inventor： Syed Najeeb Andrabi ,  Sachin Goel

IPC: H04L67/146 ,  H04L67/63

Abstract: Techniques are disclosed for session management for variable-length message streams. In an example method, a computing system establishes a first session by receiving, from a first computer system, registration information including a first session identifier and a specification of a channel; determining a stream orchestration instance for the channel; and joining the first computer system to the first session for the stream orchestration instance based on the first session identifier. The computing system receives, from a second computer system, a message including context information, the context information including the first session identifier. The computing system identifies the first session based on the first session identifier, the first session having one or more member computer systems. The computing system outputs the message to at least one of the one or more member computer systems of the first session.

公开(公告)号：US11556733B2

公开(公告)日：2023-01-17

申请号：US16566490

申请日：2019-09-10

Applicant: ORACLE INTERNATIONAL CORPORATION

Inventor： Syed Najeeb Andrabi ,  Rajan Modi ,  Venkatesh Mohanram ,  Muthukumar Palanisamy ,  Michael Hwang

IPC: G06F16/00 ,  G06K9/62 ,  G06F9/30 ,  G06N20/20 ,  G06N5/04 ,  G06F9/46 ,  G06N20/00 ,  G06F16/908

Abstract: In accordance with an embodiment, described herein are systems and methods for auto-completion of ICS flow using artificial intelligence/machine learning. Next actions prediction is a service that assists users in modeling the flows quickly by predicting and suggesting the next set of actions a user might be thinking of adding. The service also assists the user to follow some of the best practices while creating an integration flow.