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Themis Palpanas Phones & Addresses

  • East Windsor, NJ
  • Elmsford, NY
  • New York, NY
  • Riverside, CA
  • San Jose, CA
  • Dobbs Ferry, NY

Publications

Us Patents

Maximization Of Sustained Throughput Of Distributed Continuous Queries

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US Patent:
7496683, Feb 24, 2009
Filed:
Jul 27, 2006
Appl. No.:
11/494331
Inventors:
Christian A. Lang - New York NY, US
George Andrei Mihaila - Yorktown Heights NY, US
Themis Palpanas - Dobbs Ferry NY, US
Ioana Stanoi - White Plains NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/173
US Classification:
709241, 709232, 709238
Abstract:
A system, method, and computer readable medium for optimizing throughput of a stream processing system are disclosed. The method comprises analyzing a set of input streams and creating, based on the analyzing, an input profile for at least one input stream in the set of input streams. The input profile comprises at least a set of processing requirements associated with the input stream. The method also comprises generating a search space, based on an initial configuration, comprising a plurality of configurations associated with the input stream. A configuration in the plurality of configurations is identified that increases throughput more than the other configurations in the plurality of configurations based on at least one of the input profile and system resources.

Updating A Data Warehouse Schema Based On Changes In An Observation Model

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US Patent:
8024305, Sep 20, 2011
Filed:
Jun 26, 2008
Appl. No.:
12/146782
Inventors:
Pawan R. Chowdhary - Montrose NY, US
Hui Lei - Scarsdale NY, US
George Andrei Mihaila - Yorktown Heights NY, US
Themis Palpanas - Dobbs Ferry NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707695, 707803
Abstract:
A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model.

Maximization Of Sustained Throughput Of Distributed Continuous Queries

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US Patent:
8122150, Feb 21, 2012
Filed:
Feb 16, 2009
Appl. No.:
12/371715
Inventors:
Christian A. Lang - New York NY, US
George Andrei Mihaila - Yorktown Heights NY, US
Themis Palpanas - Dobbs Ferry NY, US
Ioana Stanoi - White Plains NY, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/173
G06F 7/00
G06F 17/30
US Classification:
709241, 709238, 707713, 707718, 707719, 707720
Abstract:
A system, method, and computer readable medium for optimizing throughput of a stream processing system are disclosed. The method comprises analyzing a set of input streams and creating, based on the analyzing, an input profile for at least one input stream in the set of input streams. The input profile comprises at least a set of processing requirements associated with the input stream. The method also comprises generating a search space, based on an initial configuration, comprising a plurality of configurations associated with the input stream. A configuration in the plurality of configurations is identified that increases throughput more than the other configurations in the plurality of configurations based on at least one of the input profile and system resources.

Updating A Data Warehouse Schema Based On Changes In An Observation Model

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US Patent:
20070294208, Dec 20, 2007
Filed:
Jun 15, 2006
Appl. No.:
11/455299
Inventors:
Pawan R. Chowdhary - Montrose NY, US
Hui Lei - Scarsdale NY, US
George Andrei Mihaila - Yorktown Heights NY, US
Themis Palpanas - Dobbs Ferry NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - ARMONK NY
International Classification:
G06F 17/30
US Classification:
707 1
Abstract:
A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model.

Updating A Data Warehouse Schema Based On Changes In An Observation Model

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US Patent:
20110264636, Oct 27, 2011
Filed:
Jul 1, 2011
Appl. No.:
13/174886
Inventors:
Pawan R. CHOWDHARY - Montrose NY, US
Hui LEI - Scarsdale NY, US
George Andrei MIHAILA - Yorktown Heights NY, US
Themis PALPANAS - Dobbs Ferry NY, US
Assignee:
INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
International Classification:
G06F 7/00
G06F 17/30
US Classification:
707695, 707E17005
Abstract:
A method, information processing system, and computer readable medium for modifying at least one data warehouse schema based on detected changes in an associated observation model are disclosed. The method includes determining if at least one new observation model has been created. The method also includes determining if at least one existing observation model is associated with the new observation model. In response to the existing observation model being associated with the new observation model, at least one changed attribute is identified by comparing the new observation model and the existing observation model. A set of files associated with the existing observation model is updated to reflect the changed attribute between the new observation model and the existing observation model.
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