Ashok B Banerjee

age ~50

from Saint Paul, MN

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Also known as:

Ashok T Banerjee
Ashok Banjeree
Ashok Barnerjee
Ashok Banerje
Banerjee Ashok

Phone and address:: 4516 Slater Rd, Saint Paul, MN 55122

Connected to:

Ashok Banerjee Phones & Addresses

4516 Slater Rd, Saint Paul, MN 55122
Eagan, MN
Union City, CA
Minneapolis, MN
Chicago, IL
Redwood City, CA
Fremont, CA
Mountain View, CA

Resumes

Ashok Banerjee

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Ashok Banerjee

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Location:

San Francisco Bay Area

Industry:

Computer Software

Skills:

Architecture
ESB
Organization & prioritization skills
Testing
Management
Programming
Distributed Systems
Struts
Cross-functional Team Leadership
Agile Methodologies
Cloud Computing
Java Enterprise Edition
Databases
SOA
Integration
Java
Software Development
Hadoop
Oracle
Spring
Weblogic
Analytics
Software Engineering
Scalability
Software Project Management

Ashok Banerjee

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Location:

United States

Wikipedia References

Ashok Banerjee

Work:

Company:

Indian Institute of Management Calcutta

Position:

Author

Education:

Studied at:

University of Calcutta • University of Rajasthan

Area of science:

Accounting

Academic degree:

Professor

Formal sciences:

Time series

Skills & Activities:

Skill:

Risk management tools

Ashok Banerjee

Wikipedia

Ashok Banerjee

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Ashok Banerjee is the author of the book Financial Accounting: A Managerial Emphasis (ISBN 978-8174464156), which is widely used as a text book in Finance ...

Us Patents

Jmx Administration Of Rfid Edge Server
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US Patent:

7495568, Feb 24, 2009
Filed:

Sep 22, 2005
Appl. No.:

11/233451
Inventors:

Ashok Banerjee - Fremont CA, US
Assignee:

BEA Systems, Inc. - Redwood Shores CA
International Classification:

G08B 23/00
US Classification:

3405731, 3405721, 340 101, 709201
Abstract:

An RFID edge server using an application server allows for improvements in an RFID system.

System And Method For Identifying Bugs In Software Source Code, Using Information From Code Coverage Tools And Source Control Tools To Determine Bugs Introduced Within A Time Or Edit Interval
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US Patent:

7503037, Mar 10, 2009
Filed:

Apr 2, 2004
Appl. No.:

10/816615
Inventors:

Ashok Banerjee - Fremont CA, US
Michael Cico - Nashua NH, US
Vishal Vishnoi - Burlington MA, US
Assignee:

Bea Systems, Inc. - Redwood Shores CA
International Classification:

G06F 9/44
US Classification:

717124, 717120
Abstract:

A system and method for using an automated process to identify bugs in software code. The system can be used to assist with the development of large and complex software products. File-level and/or line-level code coverage information is used to automatically trace-test failures to development changes within the product source code over a specified period of time. Information as to the health of a software product and the test criteria it passes or fails is compared at a first time, when the product may have satisfied all test criteria, with the health of the product at a second time when the same criteria may be failing. This information can then be used to narrow down and/or identify specific product failures to a particular change or set of changes in the software code, before any manual analysis need be done.

Rfid Edge Server With Socket Multiplexing
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US Patent:

7660890, Feb 9, 2010
Filed:

Sep 22, 2005
Appl. No.:

11/232622
Inventors:

Ashok Banerjee - Fremont CA, US
Assignee:

BEA Systems, Inc. - Redwood Shores CA
International Classification:

G06F 15/173
US Classification:

709224, 370352, 3405721
Abstract:

An RFID (Radio Frequency Identification) edge server associates with multiple RFID readers at a location. The RFID edge server includes an application server to run applications. The RFID edge server having TCP/IP socket connections with the multiple RFID readers. The RFID edge server having a fewer access threads for the RFID readers than there are socket connections.

Rfid Edge Server With Security Wsrm
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US Patent:

7805499, Sep 28, 2010
Filed:

Oct 24, 2005
Appl. No.:

11/256762
Inventors:

Ashok Banerjee - Fremont CA, US
Assignee:

BEA Systems, Inc. - Redwood Shores CA
International Classification:

G06F 15/16
H04L 12/66
G08B 13/14
H04Q 5/12
US Classification:

709218, 370352, 3405721, 340 101
Abstract:

An RFID edge server can associate with multiple RFID readers at a location. The RFID edge server can include an application server using a Web Services Reliable Messaging to transfer RFID data.

Event Boxcarring Of Rfid Information Sent From Rfid Edge Server
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US Patent:

7835954, Nov 16, 2010
Filed:

Sep 22, 2005
Appl. No.:

11/233444
Inventors:

Ashok Banerjee - Fremont CA, US
Assignee:

BEA Systems, Inc. - Redwood Shores CA
International Classification:

G06Q 10/00
G06F 9/46
G06F 15/02
G06F 17/00
G06G 1/14
G06Q 20/00
G07B 17/00
G07F 19/00
H04Q 5/22
G08B 13/14
US Classification:

705 28, 705 9, 705 22, 705 30, 340 103, 3405721, 235375
Abstract:

An RFID edge server using an application server allows for improvements in an RFID system.

Reducing Reliance On A Central Data Store While Maintaining Idempotency In A Multi-Client, Multi-Server Environment
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US Patent:

7933962, Apr 26, 2011
Filed:

May 29, 2008
Appl. No.:

12/128835
Inventors:

Ashok Banerjee - Fremont CA, US
Carmelo Kintana - Mountain View CA, US
Assignee:

Google Inc. - Mountain View CA
International Classification:

G06F 15/16
US Classification:

709206, 709245, 709219, 709221, 709228, 709238, 709202, 709226, 709203, 719313, 719315, 719316, 718100, 718104, 718105
Abstract:

One embodiment of the present invention provides a system for reducing reliance on a central data store while maintaining idempotency in a multi-client, multi-server environment. During operation, the system receives a request to perform a transaction from a client at a server, wherein the request includes a request identifier and an idempotence-risk flag. The system then determines if the idempotence-risk flag is set. If not, the system: processes the request at the server to produce a result, and stores the request in a request-cache local to the server. The system also stores the request in the central data store, and returns the result to the client.

System And Method For Providing A Filtering Classloader In A Computer Environment
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US Patent:

8196128, Jun 5, 2012
Filed:

Jun 19, 2007
Appl. No.:

11/765263
Inventors:

Srinagesh Susarla - Fremont CA, US
Ashok Banerjee - Fremont CA, US
Robert Woollen - San Francisco CA, US
Assignee:

Oracle International Corporation - Redwood Shores CA
International Classification:

G06F 9/44
US Classification:

717166, 717162, 717165
Abstract:

A system and method for providing a filtering classloader within a Java-based or other application environment. In one embodiment, a filtering classloader is placed between two other classloaders, e. g. between the system classloader and the application classloader. The filtering classloader is provided with a set of patterns which throw a “class not found exception” if an application makes a request for that class or package. The exception leads the application classloader to believe (perhaps correctly) that there is no class with that name in the system classloader. The application classloader then loads the class itself. The class may or may not exist in the system classloader; the filtering classloader in essence overrides any retrieval from that classloader in favor of the application classloader, for certain specified patterns of request.

Facilitating Self-Tuning Traffic Shaping Without A Central Traffic Manager
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US Patent:

8495238, Jul 23, 2013
Filed:

May 28, 2008
Appl. No.:

12/128271
Inventors:

Ashok Banerjee - Fremont CA, US
Radhika Lakshmanan - Mountain View CA, US
Assignee:

Google Inc. - Mountain View CA
International Classification:

G06F 15/173
G06F 15/16
US Classification:

709233, 709223, 709232
Abstract:

One embodiment of the present invention provides a system that facilitates self-tuning traffic shaping without a central traffic manager. During operation, the system sends one or more requests from a client to a server over a specified period of time. Next, the system receives one or more responses to the requests from the server over the specified period of time. The system then determines a request-timeout percentage for the period of time. Finally, the system adjusts a rate at which requests are sent to the server based on the request-timeout percentage.