ADAPTIVE THROTTLING SYSTEM FOR DATA PROCESSING SYSTEMS

    公开(公告)号:CA2426640A1

    公开(公告)日:2004-10-28

    申请号:CA2426640

    申请日:2003-04-28

    Applicant: IBM CANADA

    Abstract: An adaptive throttling system for minimizing the impact of non-producti on work on production work in a computer system. The adaptive throttling system throttles production work and non-production work to optimize production. Th e adaptive throttling system allows system administrators to specify a quantified limit on the performance impact of non-production or utility work on production work. The throttling rate of the utility is then automatically determined by a supervisory agent, so that the utilities' impact is kept within the specifie d limit. The adaptive throttling system adapts dynamically to changes in workloads so as to ensure that valuable system resources are well utilized and utility work is not delayed unnecessarily.

    SELF-MANAGING COMPUTING SYSTEM
    14.
    发明专利

    公开(公告)号:AU2003260503A1

    公开(公告)日:2004-04-08

    申请号:AU2003260503

    申请日:2003-08-13

    Applicant: IBM

    Abstract: A method, computer program product, and data processing system for constructing a self-managing distributed computing system comprised of "autonomic elements" is disclosed. An autonomic element provides a set of services, and may provide them to other autonomic elements. Relationships between autonomic elements include the providing and consuming of such services. These relationships are "late bound," in the sense that they can be made during the operation of the system rather than when parts of the system are implemented or deployed. They are dynamic, in the sense that relationships can begin, end, and change over time. They are negotiated, in the sense that they are arrived at by a process of mutual communication between the elements that establish the relationship.

    SELF-MANAGING COMPUTING SYSTEM
    15.
    发明专利

    公开(公告)号:PL375881A1

    公开(公告)日:2005-12-12

    申请号:PL37588103

    申请日:2003-08-13

    Applicant: IBM

    Abstract: A method, computer program product, and data processing system for constructing a self-managing distributed computing system comprised of "autonomic elements" is disclosed. An autonomic element provides a set of services, and may provide them to other autonomic elements. Relationships between autonomic elements include the providing and consuming of such services. These relationships are "late bound," in the sense that they can be made during the operation of the system rather than when parts of the system are implemented or deployed. They are dynamic, in the sense that relationships can begin, end, and change over time. They are negotiated, in the sense that they are arrived at by a process of mutual communication between the elements that establish the relationship.

    Method and system for recognizing end-user transactions

    公开(公告)号:GB2367402B

    公开(公告)日:2004-06-09

    申请号:GB0111398

    申请日:2001-05-10

    Applicant: IBM

    Abstract: A method and system are described for end-user transaction recognition based on server data such as sequences of remote procedure calls (RPCs). The method may comprise machine-learning techniques for pattern recognition such as Bayesian classification, feature extraction mechanisms, and a dynamic-programming approach to segmentation of RPC sequences. The method preferably combines information-theoretic and machine-learning approaches. The system preferably includes a learning engine and an operation engine. A learning engine may comprise a data preparation subsystem (feature extraction) and a Bayes Net learning subsystem (model construction). The operation engine may comprise transaction segmentation and transaction classification subsystems.

    Method and system for recognizing end-user transactions

    公开(公告)号:GB2367402A

    公开(公告)日:2002-04-03

    申请号:GB0111398

    申请日:2001-05-10

    Applicant: IBM

    Abstract: A method and system are described for end-user transaction recognition based on server data such as sequences of remote procedure calls (RPCs). In a preferred embodiment, the method comprises machine-learning techniques for pattern recognition such as Bayesian classification, feature extraction mechanisms, and a dynamic-programming approach to segmentation of RPC sequences. The method preferably combines information-theoretic and machine-learning approaches. The system preferably includes a learning engine and an operation engine. The learning engine typically comprises a data preparation subsystem (feature extraction) and a Bayes Net learning subsystem (model construction). The operation engine may comprise transaction segmentation and transaction classification subsystems.

    SYSTEM AND METHOD FOR ON-LINE ADAPTIVE PREDICTION USING DYNAMIC MANAGEMENT OF MULTIPLE SUB-MODELS

    公开(公告)号:CA2344769A1

    公开(公告)日:2001-12-09

    申请号:CA2344769

    申请日:2001-04-20

    Applicant: IBM

    Abstract: Predictive models are widely used for tasks in many domains. The present invention addresses the problem of prediction of non-stationary processes by dynamical ly managing multiple models. The system comprises a model assessor, a model adapter, a plurality of sub-models, a plurality of model combiner functions, training data that is used to estimat e model parameters, and test data that is used to test for change points. Two processes are describe d, one for handling data updates and another that addresses prediction requests.

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