The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 22, 2016

Filed:

Mar. 22, 2012
Applicants:

Jon L. Bentley, New Providence, NJ (US);

Anjur S. Krishnakumar, Princeton, NJ (US);

Parameshwaran Krishnan, Basking Ridge, NJ (US);

Navjot Singh, Denville, NJ (US);

Shalini Yajnik, Berkeley Heights, NJ (US);

Kirak Hong, Atlanta, GA (US);

Inventors:

Jon L. Bentley, New Providence, NJ (US);

Anjur S. Krishnakumar, Princeton, NJ (US);

Parameshwaran Krishnan, Basking Ridge, NJ (US);

Navjot Singh, Denville, NJ (US);

Shalini Yajnik, Berkeley Heights, NJ (US);

Kirak Hong, Atlanta, GA (US);

Assignee:

Avaya Inc., Basking Ridge, NJ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06Q 10/10 (2012.01); H04N 7/15 (2006.01); H04L 12/18 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/06311 (2013.01); G06Q 10/1095 (2013.01); H04L 12/1827 (2013.01); H04N 7/15 (2013.01);
Abstract

Method for scheduling and implementing an electronic meeting conducted among remotely-located users communicating with an agenda server, including: accepting a meeting agenda that includes a plurality of topics, a quorum, an identification of resources used by each topic, an identification of data used by each topic, and an identification of data produced by each topic; partitioning the meeting agenda into at least a first and second group of topics; searching for data dependencies between the first and second groups of topics; searching for resource dependencies between the first and second groups of topics; if data dependencies or resource dependencies are found between the first and second groups of topics, then repartitioning the meeting agenda until the data dependencies and resource dependencies between the first and second groups of topics are reduced below a predetermined dependency threshold; and concurrently scheduling and executing the first and second groups of topics.


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