Oracle international corporation (20240126736). TECHNIQUES FOR EFFICIENT COMPUTE RESOURCE HARVESTING simplified abstract

TECHNIQUES FOR EFFICIENT COMPUTE RESOURCE HARVESTING

Organization Name

oracle international corporation

Inventor(s)

Ganesh Seetharaman of Redwood Shores CA (US)

Robert Costin Velisar of Belmont CA (US)

Yuen Sheung Chan of San Ramon CA (US)

TECHNIQUES FOR EFFICIENT COMPUTE RESOURCE HARVESTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126736 titled 'TECHNIQUES FOR EFFICIENT COMPUTE RESOURCE HARVESTING

Simplified Explanation

The present disclosure describes a system and techniques for resolving dangling references resulting from a dependency relationship between computing resource objects uncovered during a harvesting process.

• Harvester application adds computing resource objects associated with a client to a resource collection as they are identified.
• Dependencies are identified and resolved only if the associated computing resource objects have already been added to the resource collection.
• Unresolved dependencies are added to an observer pool for further processing during the harvest process.

Potential Applications

The technology described in this patent application could be applied in software development, data management, and system integration to ensure that all dependencies between computing resource objects are properly resolved.

Problems Solved

This technology solves the problem of dangling references and ensures that all dependencies between computing resource objects are resolved in a timely and efficient manner.

Benefits

The benefits of this technology include improved system stability, reduced errors in computing resource management, and increased efficiency in resolving dependencies between objects.

Potential Commercial Applications

A potential commercial application of this technology could be in cloud computing platforms, where managing dependencies between computing resource objects is crucial for system performance and reliability.

Possible Prior Art

One possible prior art for this technology could be existing software tools or frameworks that address dependency management in software development or data processing.

What are the potential scalability challenges of implementing this technology in large-scale computing environments?

Implementing this technology in large-scale computing environments may face challenges related to the processing speed of the observer modules, the scalability of the resource collection, and the efficient resolution of dependencies between a vast number of computing resource objects.

How does this technology compare to existing solutions for resolving dependencies between computing resource objects?

This technology offers a more automated and systematic approach to resolving dependencies between computing resource objects compared to manual or ad-hoc methods commonly used in software development or data management.

Original Abstract Submitted

the present disclosure relates to a system and techniques for resolving dangling references resulting from a dependency relationship between computing resource objects uncovered during a harvesting process. in embodiments, a harvester application adds computing resource objects associated with a client to a resource collection as those computing resource objects are identified. dependencies are identified as each computing resource object is added to the resource collection, which are resolved only if the computing resource objects associated with those dependencies have already been added to the resource collection. if the computing resource objects associated with the dependencies have not already been added to the resource collection, then the dependency is added to an observer pool. observer modules are configured to check each computing resource object as it is processed during the harvest process in order to match those computing resource objects to unresolved dependencies.