Yuan Tang

The application discloses a distributed task operation method, a distributed task operation system and distributed task operation equipment. The method flow of an embodiment of the present disclosure includes: and acquiring task fragments, distributing the task fragments to the effective computing nodes for processing, and acquiring task results. In the process of distributing task slices: each effective computing node can only distribute one task fragment at the same time, the effective… Show more

The application discloses a distributed task operation method, a distributed task operation system and distributed task operation equipment. The method flow of an embodiment of the present disclosure includes: and acquiring task fragments, distributing the task fragments to the effective computing nodes for processing, and acquiring task results. In the process of distributing task slices: each effective computing node can only distribute one task fragment at the same time, the effective computing node starts to run the task fragment after being distributed with the task fragment, and when the effective computing node finishes the task fragment distributed with the effective computing node, the effective computing node can be distributed with a new task fragment; when the effective computing node is in error, reassigning the task fragment to which the effective computing node in error is currently assigned; when the effective computing node is closed or stolen, reallocating the task fragments currently allocated to the closed or stolen effective computing node; when a new active compute node is pulled up, unassigned task segments are assigned to the new active compute node. Show less

A computing platform may obtain observed data vectors related to the operation of a topology of nodes that represents a software application running on an uncontrolled platform, wherein each observed data vector comprises data values captured for a given set of operating variables at a particular point in time. After obtaining the observed data vectors, the computing platform may apply an anomaly detection model to the observed data vectors and then based on the anomaly detection model, may… Show more

A computing platform may obtain observed data vectors related to the operation of a topology of nodes that represents a software application running on an uncontrolled platform, wherein each observed data vector comprises data values captured for a given set of operating variables at a particular point in time. After obtaining the observed data vectors, the computing platform may apply an anomaly detection model to the observed data vectors and then based on the anomaly detection model, may identify an anomaly in at least one operating variable. In turn, the computing platform may determine whether each identified anomaly is indicative of a problem related to the application, and based on a determination that an identified anomaly is indicative of a problem related to the software application, cause a client station to present a notification. Show less