Hewlett Packard Enterprise Development Lp Patent Portfolio Statistics

Hewlett Packard Enterprise Development Lp

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Hewlett Packard Enterprise Development Lp look like?

Assignee Art Units
Total Applications: 17,533 1,372,389
Granted Patents: 14,315 812,149
Grant Index 85.81% 79.91%
Abandoned/Rejected Applications: 2,368 (14.19%) 204,142 (20.09%)
In-Process Applications: 841 356,098
Average Grant Time: 3.59 Years 2.95 Years
Average Office Actions: 1.98 1.7

Which Technology Area Hewlett Packard Enterprise Development Lp is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
2835 Electrical Circuits and Systems 508
2113 Computer Error Control, Reliability, & Control Systems 298
2114 Computer Error Control, Reliability, & Control Systems 292
2187 Computer Architecture and I/O 234
2195 Interprocess Communication and Software Development 222

How many patents are Hewlett Packard Enterprise Development Lp filing every year?

Year Total Applications Predicted
2022 0* 1580
2021 118* 1478
2020 438 1505
2019 565 565
2018 1,040
2017 1,133
2016 1,133
2015 766
2014 721
2013 695

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Hewlett Packard Enterprise Development Lp in USPTO?

Publication number: None
Application number: 17/678,980

Abstract:


Publication date:
Applicant: Hewlett Packard Enterprise Development Lp
Inventors: Daniel Harkins N


Publication number: US20220107745A1
Application number: 17/644,485

Abstract:
Example implementations relate to virtual persistent volumes. In an example, a manifest of a containerized application to which a virtual persistent volume is allocated is read from a container orchestrator. An application data store profile that matches information of the manifest is identified from among a plurality of application data store profiles that each include storage parameters preconfigured for a respective application type. The virtual persistent volume is modified according to the identified application data store profile.

Publication date: 2022-04-07
Applicant: Hewlett Packard Enterprise Development Lp
Inventors: Bradley Cain Eugene


Publication number: US20220092114A1
Application number: 17/544,078

Abstract:
An example method can include tracking, by a network device, a plurality of database operations performed and a plurality of expected database operations for an event that executes for a time period, generating, by the network device, a plurality of clusters based on a ratio of the database operations performed compared to the plurality of expected database operations and the time period for the event, classifying, by the network device, the clusters based on performance, and evaluating, by the network device, a system performance metric based on a classification of real time data into the clusters.

Publication date: 2022-03-24
Applicant: Hewlett Packard Enterprise Development Lp
Inventors: B N Phani Shree Sundara


How are Hewlett Packard Enterprise Development Lp’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/678,980 Daniel N. Harkins Docketed New Case – Ready for Examination 3992 Worjloh, Jalatee
17/644,485 Containerized Application Manifests And Virtual Persistent Volumes Docketed New Case – Ready for Examination OPAP Central, Docket
17/544,078 Database Operation Classification Docketed New Case – Ready for Examination OPAP Central, Docket
17/539,831 Secure Compliance Protocols Docketed New Case – Ready for Examination OPAP Central, Docket
17/533,595 Secure Parameter Merging Using Homomorphic Encryption For Swarm Learning Docketed New Case – Ready for Examination OPAP Central, Docket