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BROOKER MARC J

Overview
  • Total Patents
    24
About

BROOKER MARC J has a total of 24 patent applications. Its first patent ever was published in 2010. It filed its patents most often in United States. Its main competitors in its focus markets computer technology, digital networks and telecommunications are MASPAR COMPUTER CORP, HILERIO ISRAEL and ARIA SOLUTIONS INC.

Patent filings in countries

World map showing BROOKER MARC Js patent filings in countries
# Country Total Patents
#1 United States 24

Patent filings per year

Chart showing BROOKER MARC Js patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Brooker Marc J 24
#2 Parthasarathy Madhuvanesh 15
#3 Certain Tate Andrew 12
#4 Holgers Tobias L 8
#5 Richardson David R 7
#6 Lee Kerry Q 5
#7 Wei Danny 4
#8 Agrawal Abhinav 3
#9 Brown David 3
#10 Theimer Marvin M 2

Latest patents

Publication Filing date Title
US9804993B1 Data volume placement techniques
US9823840B1 Data volume placement techniques
US9503517B1 Data volume placement techniques
US9246996B1 Data volume placement techniques
US9141309B1 Versioning-capable data storage devices
US8918392B1 Data storage mapping and management
US8738935B1 Verified erasure of data implemented on distributed systems
US8930364B1 Intelligent data integration
US8972799B1 Variable drive diagnostics
US8719320B1 Server-side, variable drive health determination
US9792192B1 Client-side, variable drive health determination
US8935203B1 Environment-sensitive distributed data management
US8832234B1 Distributed data storage controller
US9152505B1 Verified hardware-based erasure of data on distributed systems
US9037921B1 Variable drive health determination and data placement
US8760780B1 System and method for disk sector failure prediction
US9110600B1 Triggered data shelving to a different storage system and storage deallocation
US9037826B1 System for optimization of input/output from a storage array
US9722866B1 Resource allocation to reduce correlated failures
US8775438B1 Inferring resource allocation decisions from descriptive information