Kalman filtering for grid computing telemetry and workload management
First Claim
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1. A method comprising:
- monitoring telemetry data at a node of a grid computing engine with a Kalman filter;
determining whether the monitored telemetry data is outside of a bounds of a predictive model of the Kalman filter;
signaling an error condition for the node if the monitored telemetry data is outside of the bounds; and
addressing the error condition by correcting a problem experienced at the node corresponding to the error condition.
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Abstract
In one embodiment, a method and apparatus for Kalman filtering for grid computing telemetry and workload management is disclosed. The method includes monitoring telemetry data at a node of a grid computing engine with a Kalman filter, determining whether the monitored telemetry data is outside of a bounds of a predictive model of the Kalman filter, signaling an error condition for the node if the monitored telemetry data is outside of the bounds, and addressing the error condition by correcting a problem experienced at the node corresponding to the error condition. Other embodiments are also disclosed.
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Citations
20 Claims
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1. A method comprising:
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monitoring telemetry data at a node of a grid computing engine with a Kalman filter; determining whether the monitored telemetry data is outside of a bounds of a predictive model of the Kalman filter; signaling an error condition for the node if the monitored telemetry data is outside of the bounds; and addressing the error condition by correcting a problem experienced at the node corresponding to the error condition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. An article of manufacture, comprising a machine-accessible medium including data that, when accessed by a machine, cause the machine to perform operations comprising:
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monitoring telemetry data at a node of a grid computing engine with a Kalman filter; determining whether the monitored telemetry data is outside of a bounds of a predictive model of the Kalman filter; signaling an error condition for the node if the monitored telemetry data is outside of the bounds; and addressing the error condition by correcting a problem experienced at the node corresponding to the error condition. - View Dependent Claims (11, 12, 13, 14, 15)
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16. An apparatus, comprising:
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a grid computing engine including a node; and a Kalman filter associated with the node to; monitor telemetry data at the node; determine whether the monitored telemetry data is outside of the bounds of a predictive model of the Kalman filter; and signal an error condition for the node if the telemetry data is outside of the bounds. - View Dependent Claims (17, 18, 19, 20)
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Specification