Orchestration engine blueprint aspects for hybrid cloud composition

    公开(公告)号:GB2582235A

    公开(公告)日:2020-09-16

    申请号:GB202010577

    申请日:2018-12-11

    Applicant: IBM

    Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a learning component and a hybrid cloud composition component. The learning component learns one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform. The hybrid cloud composition component generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The hybrid cloud composition component also modifies a blueprint associated with the cloud-based computing platform based on the set of resource definitions.

    Analyzer for behavioral analysis and parameterization of neural stimulation

    公开(公告)号:GB2537030A

    公开(公告)日:2016-10-05

    申请号:GB201603033

    申请日:2016-02-22

    Applicant: IBM

    Abstract: A computer implemented neural stimulation system 400, particularly for treating movement disorders, has: a first module 408 to derive neural data from measurements of movements, muscle contractions or speech; a second module 406,412 to derive a neural state assessment of a patient from the neural data, e.g. to predict onset of an episode of tremors or OCD; a third module 414 for deriving at least one neural stimulation parameter based on the neural state assessment; and a fourth module 416 for delivering a therapy such as deep brain stimulation. Preferably detected speech is converted to text and analysed using a graphical text analyser (702, figure 7) to provide word graphs (712) which are input to a learning engine (714) and a predictive engine (716) which uses Markovian modelling to derive the neural state assessment. Preferably the first module also uses other inputs 410 such as EEG measurements, heart rate variability and real world behaviours which may be derived from a cloud computing environment 50.

    Orchestration engine blueprint aspects for hybrid cloud composition

    公开(公告)号:GB2582235B

    公开(公告)日:2021-03-03

    申请号:GB202010577

    申请日:2018-12-11

    Applicant: IBM

    Abstract: Techniques that facilitate orchestration engine blueprint aspects for hybrid cloud composition are provided. In one example, a system includes a learning component and a hybrid cloud composition component. The learning component learns one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform. The hybrid cloud composition component generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects. The hybrid cloud composition component also modifies a blueprint associated with the cloud-based computing platform based on the set of resource definitions.

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