• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. F
  4. Fei…
  5. Fei David
🔗 Permalink
Inventor profile of:

David Fei

City:

Tucson, Arizona

Country:

United States

Published Applications:

6

Last publication date:

2022-05-26

Top Assignees for applications by David Fei

The entities that hold a legal rights for patent applications filed by inventor Fei David:

  • INTERNATIONAL BUSINESS MACHINES CORPORATION 6 ARMONK, NY United States

Recent patent applications by Fei David

David Fei from Tucson, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2022-05-26
US20220164116A1
Physics

Expanding storage capacity for implementing logical corruption protection

#2 | 2022-02-10
US20220043583A1
Physics

Expanding storage capacity for implementing logical corruption protection

#3 | 2020-03-12
US20200081792A1
Physics

Copying point-in-time data in a storage to a point-in-time copy data location in advance of destaging data to the storage

#4 | 2020-03-12
US20200081642A1
Physics

Metadata track entry sorting in a data storage system

#5 | 2020-03-12
US20200081629A1
Physics

Performing a recovery copy command to restore a safeguarded copy backup to a production volume

#6 | 2018-05-24
US20180143774A1
Physics

Multi-mode data replication for data loss risk reduction

InventorID:

2197728 ⎘

  1. Home
  2. Inventor
  3. F
  4. Fei…
  5. Fei David

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.