Oracle International Corporation

Ankur Prakash

Prakash Kumar Devta

Srimant Misra

Manish Agrawal

Sandeep Jain

Sandeep Deshpande

Dinesh Chandra Pant

In accordance with an embodiment, described herein are systems and methods for supporting a declarative non code self-learning advisory framework in an orchestration based application integration. The systems and methods can provide an advisory framework as a component of an integration platform which can allow declaratively defined recommendations, guidance, warnings etc. to be shown to the consumer of the platform on occurrence of certain events. The advisory framework can provide benefits such as: 1) allowing any entity to declaratively define/modify the rules and advices which will immediately get reflected across the customer fleet without dependency on product's release cadence; 2) where such updates to declaratively defined rules and advices does not involve any code changes to do the product; 3) comprises a structure which is generic and not component specific; and 4) can have self-learning capabilities from the generated product metrics.

System and method for providing a declarative non code self-learning advisory framework for orchestration based application integration

Systems and methods for namespace masking in an integration flow. In order to mitigate issues arising due to application updates impacting integration flows, during the metadata generation phase, all the elements which are available for operation selection can be cloned and replaced with a new namespace. The original elements are deleted from the metadata. The systems and methods can maintain the original namespace and the element name at a predefined place in the metadata (e.g., as an attribute of the cloned Element). The cloned element in addition to all the original fields of the element, can have one additional field which will store the value of the original namespace.

System and method for namespace masking in an integration flow

In accordance with an embodiment, described herein are systems and methods identifying capabilities and limitations of an orchestration based application integration. The systems and methods described herein can detect and publish/expose such a set of limitations and capabilities of the adapters/connectors to the integration platform. In this way, such metadata can be used, for example, by a user of an integration system in designing an integration of applications, or in selecting an orchestration, based upon, e.g., the published metadata that indicates the capabilities of the individual adapters/connectors, or the orchestration as a whole (or parts thereof). This way, once an orchestration is active for processing requests, then it can also publish a metadata considering the metadata of involved adapters. This metadata can be used in adjusting requests to an integration.

System and method for identifying capabilities and limitations of an orchestration based application integration

In accordance with an embodiment, described herein is a system and method for optimizing cloud infrastructure through client request classification in a cloud computing environment. The cloud infrastructure can include one or more high-compute infrastructure instances, and one or more standard-compute infrastructure instances. Each request received at a load balancer can be checked against a request classification cache, to determine whether the request has been classified, and if it has been classified, whether the request can be routed to a high-compute infrastructure instance or a standard-compute infrastructure instance based on a classification of the request. An unclassified request can be classified based on a plurality of request parameters, and threshold values derived from the cloud infrastructure; and can be stored in the request classification cache. Classified requests in the classification cache can be provided to a cloud vendor for use in optimizing the cloud infrastructure.

Growing community of inventors

Bengaluru, India

Ankur Prakash