Patents by Inventor Nikolaus Haus

Nikolaus Haus has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Predictive model-based measurement acquisition
    Patent number: 6678730
    Abstract: A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time.
    Type: Grant
    Filed: March 29, 2002
    Date of Patent: January 13, 2004
    Assignee: International Business Machines Corporation
    Inventors: Joseph L. Hellerstein, Nikolaus Haus
  • Predictive model-based measurement acquisition employing a predictive model operating on a manager system and a managed system
    Patent number: 6430615
    Abstract: A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time.
    Type: Grant
    Filed: March 13, 1998
    Date of Patent: August 6, 2002
    Assignee: International Business Machines Corporation
    Inventors: Joseph L. Hellerstein, Nikolaus Haus
  • Predictive model-based measurement acquisition
    Publication number: 20020099821
    Abstract: A method, system and program storage device for measurement acquisition using predictive models which: (a) can improve scalability; (b) can accommodate devices that operate in a disconnected mode; and (c) enable integration of data from sources with different time granularities. Various features can be embodied in software and an object-oriented implementation is described. Different implementations are described, such as standalone predictive models implemented only on a manager (for example systems management/load balancing) or managed system (for example router management); or a parallel implementation with predictive models running on both the manager and managed (agent) systems (for example financial trading or system health monitoring). In a parallel model implementation, the agent constructs a predictive model that is conveyed to the manager system. The models are used in parallel, possibly with no communication for an extended time.
    Type: Application
    Filed: March 29, 2002
    Publication date: July 25, 2002
    Applicant: International Business Machines Corporation
    Inventors: Joseph L. Hellerstein, Nikolaus Haus