A system and method for allowing an assignee to rapidly collect data about a bug/error that is associated with the execution of a software application on a computing device. The method includes including receiving, from a client device, a request to resolve an error associated with an execution of an application on a remote server. The request includes configuration information for connecting to the remote server and an identifier to a component of the application. The method includes determining one or more files associated with the component of the application. The method includes establishing a connection to the remote server using the configuration information. The method includes retrieving the one or more files from the remote server via the connection. The method includes granting, to an assignee device, access to the one or more files that were retrieved from the remote server.

An example computing device includes a power supply. The computing device also includes a storage device to receive power from the power supply during an error collection operation. The storage device is also to receive power via radio waves from a client device during a diagnostic operation. The computing device further includes a controller to receive error information associated with a component of the computing device. The controller is also to store the error information in the storage device during the error collection operation.

Apparatus and method for high-performance page fault handling. For example, one embodiment of an apparatus comprises: one or more accelerator engines to process work descriptors submitted by clients to a plurality of work queues; fault processing hardware logic associated with the one or more accelerator engines, the fault processing hardware logic to implement a specified page fault handling mode for each work queue of the plurality of work queues, the page fault handling modes including a first page fault handling mode and a second page fault handling mode.

Apparatuses and methods for anomaly detection. In one embodiment, a method is implemented in a computing device for building a tree structure to represent a system behavior includes obtaining one or more training log records; and building a tree structure using the one or more training log records. The tree structure includes a plurality of tree nodes. Each successive tree node in a root-to-leaf path of the tree structure representing successive log elements of the one or more training log records. Each of the one or more training log records includes one or more log elements. In one embodiment, a method implemented in a computing device for fault detection includes obtaining a live log record and determining an anomaly in the live log record by comparing corresponding successive elements of the live log record to successive nodes in a root-to-leaf direction of the tree structure.

Provided are a method and apparatus for generating a topological graph, an anomaly detection method and apparatus, a device and a storage medium. The method for generating a topological graph includes acquiring a preset event stream, where the preset event stream corresponds to a normal log execution path; determining a dependent event pair in the preset event stream; determining a range of a transfer interval corresponding to the dependent event pair, where a transfer interval represents the time difference between adjacent occurrences of two events in the dependent event pair; and generating an event topological graph according to the range of the transfer interval and the transfer probability corresponding to the dependent event pair, where the transfer probability represents the conditional probability between the two events in the dependent event pair.

The confidentiality of data is maintained in a case where analysis of an operation state of a facility is entrusted to the outside. An embodiment of the present invention is configured to chronologically store log data in a first storage medium, and store attribute information indicating a relevance between a type of a failure expected to occur in a facility and each of a plurality of data users; The embodiment is further configured to select, at the occurrence of a failure in the facility, a data user who has a relevance to a type of the failure from among the plurality of data users based on the attribute information, selectively read log data relating to an operation state of the facility in which the failure has occurred, and transmits the read log data to the selected data user.

A computing platform may be installed with software technology for creating and executing user-defined anomaly detection rules that configures the computing platform to: (1) receive, from a client device, data defining a given anomaly detection rule that has been created by a user, wherein the given anomaly detection rule comprises at least one anomaly condition that is to be applied to at least one streaming event queue, (2) store a data representation of the given anomaly detection rule in a data store, (3) convert the data representation of the given anomaly detection rule to a streaming query statement, (4) iteratively apply the streaming query statement to the at least one streaming event queue, and (5) while iteratively applying the streaming query statement, make at least one determination that the at least one anomaly condition is satisfied and then cause at least one anomaly notification to be issued to the user.

Example aspects include techniques for employing cross-service diagnostics for cloud service providers. These techniques may include dynamically generating a workflow of one or more diagnostic modules based on relationship information between an origin service experiencing an incident and one or more related services that the origin service depends on, and executing the workflow of one or more diagnostic modules to determine a root cause of the incident, each of the one or more diagnostic modules implemented by an individual service of the one or more related services in accordance with a schema. In addition, the techniques may include determining a diagnostic action based on the root cause, and transmitting, based on the diagnostic action, an engagement notification to a responsible entity.

Apparatus and method for scalable error reporting. For example, one embodiment of an apparatus comprises error detection circuitry to detect an error in a component of a first tile within a tile-based hierarchy of a processing device; error classification circuitry to classify the error and record first error data based on the classification; a first tile interface to combine the first error data with second error data received from one or more other components associated with the first tile to generate first accumulated error data; and a master tile interface to combine the first accumulated error data with second accumulated error data received from at least one other tile interface to generate second accumulated error data and to provide the second accumulated error data to a host executing an application to process the second accumulated error data.

Upon receiving an interrupt request via any one from among multiple first interrupt signal lines, a serializer identifies an error device which is one device from among the multiple devices that has transmitted the interrupt request and transmits the identification number of the error device to a deserializer. Furthermore, the serializer reads status information from the error device via a first interface and transmits the status information of the error device to the deserializer. The deserializer is structured to store the identification number of the error device and the status information in its internal register, and of transmitting an interrupt request to a controller via a second interrupt signal line. The deserializer transmits the identification number of the error device and the status information to the controller in response to a read command received from the controller.