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Ruchi Mahindru

from Elmsford, NY

Ruchi Mahindru Phones & Addresses

  • 40 Prospect St, Elmsford, NY 10523 • 914 909-5029

Us Patents

  • Method And Apparatus For Automatically Discovering Features In Free Form Heterogeneous Data

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  • US Patent:
    8108413, Jan 31, 2012
  • Filed:
    Feb 15, 2007
  • Appl. No.:
    11/675396
  • Inventors:
    Gautam Kar - Yorktown Heights NY, US
    Ruchi Mahindru - Yonkers NY, US
    Anca Sailer - Scarsdale NY, US
    Xing Wei - Amherst MA, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 7/00
  • US Classification:
    707758, 707769, 707802
  • Abstract:
    Techniques are provided for automatically discovering one or more features in free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, wherein the data comprises one or more data items, applying a label to each data item, using the labeled data to build a language model, wherein a word distribution associated with each label can be derived from the model, and using the word distribution associated with each label to discover one or more features in the data, wherein discovering one or more features in the data facilitates one or more operations that use at least a portion of the labeled data.
  • Information Theory Based Result Merging For Searching Hierarchical Entities Across Heterogeneous Data Sources

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  • US Patent:
    8219552, Jul 10, 2012
  • Filed:
    Oct 7, 2009
  • Appl. No.:
    12/575210
  • Inventors:
    Yu Deng - Hawthorne NY, US
    Murthy V. Devarakonda - Hawthorne NY, US
    Rafah A. Hosn - Hawthorne NY, US
    Ruchi Mahindru - Hawthorne NY, US
    Nithya Rajamani - Hawthorne NY, US
    Soumitra Sarkar - Research Triangle Park NC, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 17/30
  • US Classification:
    707728, 707731
  • Abstract:
    A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.
  • Adding Scalability And Fault Tolerance To Generic Finite State Machine Frameworks For Use In Automated Incident Management Of Cloud Computing Infrastructures

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  • US Patent:
    8560887, Oct 15, 2013
  • Filed:
    Dec 9, 2010
  • Appl. No.:
    12/964340
  • Inventors:
    Michael M. Behrendt - Randersacker, DE
    Rafah A. Hosn - New York NY, US
    Ruchi Mahindru - Elmsford NY, US
    Harigovind V. Ramasamy - Ossining NY, US
    Soumitra Sarkar - Cary NC, US
    Mahesh Viswanathan - Yorktown Heights NY, US
    Norbert G. Vogl - Mahopac NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 11/00
  • US Classification:
    714 15, 714 21, 714 26
  • Abstract:
    A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.
  • Adding Scalability And Fault Tolerance To Generic Finite State Machine Frameworks For Use In Automated Incident Management Of Cloud Computing Infrastructures

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  • US Patent:
    8560889, Oct 15, 2013
  • Filed:
    Sep 5, 2012
  • Appl. No.:
    13/603879
  • Inventors:
    Michael M. Behrendt - Randersacker, DE
    Rafah A. Hosn - New York NY, US
    Ruchi Mahindru - Elmsford NY, US
    Harigovind V. Ramasamy - Ossining NY, US
    Soumitra Sarkar - Cary NC, US
    Mahesh Viswanathan - Yorktown Heights NY, US
    Norbert G. Vogl - Mahopac NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 11/00
  • US Classification:
    714 15, 714 26
  • Abstract:
    A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.
  • Method And Apparatus For Automatically Structuring Free Form Hetergeneous Data

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  • US Patent:
    20080201279, Aug 21, 2008
  • Filed:
    Feb 15, 2007
  • Appl. No.:
    11/675392
  • Inventors:
    Gautam Kar - Yorktown Heights NY, US
    Ruchi Mahindru - Yonkers NY, US
    Anca Sailer - Scarsdale NY, US
    Xing Wei - Amherst MA, US
  • International Classification:
    G06F 15/18
    G06F 17/30
  • US Classification:
    706 12, 707101
  • Abstract:
    Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
  • Method For Predicting Problematic Configurations And Recommending Safe Configurations

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  • US Patent:
    20090216697, Aug 27, 2009
  • Filed:
    Feb 27, 2008
  • Appl. No.:
    12/038684
  • Inventors:
    Kirk A. Beaty - Goldens Bridge NY, US
    Andrzej Kochut - Elmsford NY, US
    Ruchi Mahindru - Yonkers NY, US
    Anca Sailer - Scarsdale NY, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06N 5/02
  • US Classification:
    706 45
  • Abstract:
    A system and method for method for assessing configurations includes steps or acts of: receiving configuration data related to configuration items and problem data related to problem tickets; classifying the configuration data into configuration classes; computing a class probability of the configuration classes; associating each configuration class with the problem tickets related to said configuration class; computing a ticket probability distribution of the problem tickets based on number of incidents; evaluating problem ticket characteristics per configuration class to determine a coefficient of trouble value for each configuration class; ranking the configuration classes according to their coefficient of trouble; wherein a highest ranking has the least coefficient of trouble; determining potentially optimal configurations based on the rankings; and providing to a user migration paths corresponding to the potentially optimal configurations.
  • Method And Apparatus For Automatically Structuring Free Form Heterogeneous Data

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  • US Patent:
    20100017350, Jan 21, 2010
  • Filed:
    Sep 9, 2009
  • Appl. No.:
    12/556275
  • Inventors:
    Gautam Kar - Yorktown Heights NY, US
    Ruchi Mahindru - Elmsford NY, US
    Anca Sailer - Scarsdale NY, US
    Xing Wei - Amherst MA, US
  • Assignee:
    International Business Machines Corporation - Armonk NY
  • International Classification:
    G06F 15/18
  • US Classification:
    706 12
  • Abstract:
    Techniques are provided for automatically structuring free form heterogeneous data. In one aspect of the invention, the techniques include obtaining free form heterogeneous data, segmenting the free form heterogeneous data into one or more units, automatically labeling the one or more units based on one or more machine learning techniques, wherein each unit is associated with a label indicating an information type, and structuring the one or more labeled units in a format to facilitate one or more operations that use at least a portion of the labeled units, e.g., information technology (IT) operations.
  • Reactive Monitoring Of Guests In A Hypervisor Environment

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  • US Patent:
    20120059930, Mar 8, 2012
  • Filed:
    Sep 2, 2010
  • Appl. No.:
    12/874717
  • Inventors:
    Murthy V. Devarakonda - Peekskill NY, US
    Rafah A. Hosn - New York NY, US
    Ruchi Mahindru - Elmsford NY, US
    Soumitra Sarkar - Cary NC, US
    Mahesh Viswanathan - Yorktown Heights NY, US
    Norbert G. Vogl - Mahopac NY, US
  • Assignee:
    INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY
  • International Classification:
    G06F 15/16
  • US Classification:
    709224
  • Abstract:
    A system, method and computer program product for detecting and reacting to a network discrepancy within a data center network environment. The method comprises monitoring network traffic between a first computer configured as a first hypervisor inter-networked within the data center network environment and a second computer inter-networked within the data center network environment in order to detect a presence of a predetermined condition representing a presence of the network discrepancy in the data center network environment between a recorded state of the data center network environment and an observed state of the data center network environment. The monitoring includes determining the observed state of the data center network environment using one of: polling, event-based or a combination thereof. The method also comprises rectifying, upon the detection of the presence of the predetermined condition, an effect associated with the presence of the predetermined condition in the data center network environment.

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