The disclosed technology provides techniques, systems, and apparatus for containing and recovering from uncorrectable memory errors in distributed computing environment through migration of virtual machines and associated memory to a target host machine. An aspect of the disclosed technology includes a hypervisor or virtual machine manager that receives signaling of an uncorrectable memory error detected by a host machine. The virtual machine manager then uses information received via the signaling to identify virtual memory addresses or memory pages associated with the corrupted memory element so as to allow for containment and recovery from the error, and for live migration of the virtual machine.

Various embodiments provide for failure mode analysis of a circuit design, which can be used as part of electronic design automation (EDA). In particular, some embodiments provide for failure mode analysis of a circuit design by determining a set of functional primitives of a circuit design component (e.g., cell at gate level) that contribute to a root cause logic for a specific failure mode.

A method and an apparatus for migrating virtual machine includes monitoring a status of a compute node; determining whether the compute node meets a trigger condition; wherein the trigger condition comprising a time period of lost connection of the compute node reaches a predetermined time period, or an unstable status of the compute node; and if the compute node meets the trigger condition, transmitting a message to a control node to migrate the VM.

A computing device for storing backups of virtual machines includes a persistent storage and a backup manager. The persistent storage stores backup policies. The backup manager identifies an end of a backup generation session for a virtual machine of the virtual machines and, in response to identifying the end of the backup generation session, identifies a continuity chain implicated by the backup generation session using the backup policies; performs a membership analysis of the identified continuity chain to identify a continuity state of the continuity chain; makes a first determination that the identified continuity chain is broken based on the identified continuity state; and, in response to the first determination, remediates the continuity chain.

Systems and methods for provisioning a customized software stack are disclosed. A user inquiry for a technical issue is received from an inquiring user and at least one response to the user inquiry is received. A customized software stack is established for a virtual computing environment based on one or more characteristics similar to one or more user characteristics of a user computing environment of the inquiring user and the at least one response.

A processing system includes safety monitoring circuits configured to generate error signals by monitoring a microprocessor operations, a memory controller, and/or a resource. The system further includes fault collection sub-circuits, each including one or more error combination circuits, each including a first programmable register and being configured to receive a subset of the error signals, determine whether an error signal is asserted, and store to the first register error status data that identifies the asserted error signal. Each error combination circuit is configured to read enable data from the first register and generate a combined error signal based on the error status and enable data. The error management circuit includes a second programmable register and is configured to receive the combined error signals, read routing data from the second register, and generate for each microprocessor an error signal based on the combined error signals and routing data.

A system and method for determining root causes of a failure in a virtual desktop system in real time is disclosed. The virtual remote desktop system has interconnected service components to make a virtual desktop available on a client device, and agents monitoring events from the components. An event collection module is coupled to the agents of the desktop system. The event collection module compiles events from the components relating to the failure. An aggregation module is coupled the event collection module. The aggregation module correlates events in a time-ordered stream relating to the fault. A diagnosis analysis system identifies one of the events of the time-ordered stream as the likely root cause of the fault.

In some examples, migration context and flow graph based migration control may include ascertaining an application that is to be migrated from a physical environment to a cloud environment, and determining a migration issue associated with the migration of the application. Migration context and flow graph based migration control may further include identifying, from a historical issue database, a plurality of historical issues, determining, for the migration issue and the plurality of historical issues, unified proximities, sorting, based on the determined unified proximities, the historical issues, selecting, from the sorted historical issues, a topmost historical issue, and determining, from the topmost historical issue, a resolution associated with the topmost historical issue. Further, migration context and flow graph based migration control may include executing the resolution to resolve the migration issue, and performing, based on the resolved migration issue, migration of the application from the physical environment to the cloud environment.

A computer-implemented method for determining whether data is anomalous includes generating a holo-entropy adaptive boosting model using, at least in part, a set of normal data. The holo-entropy adaptive boosting model includes a plurality of holo-entropy models and associated model weights for combining outputs of the plurality of holo-entropy models. The method further includes receiving additional data, and determining at least one of whether the additional data is normal or abnormal relative to the set of normal data or a score indicative of how abnormal the additional data is using, at least in part, the generated holo-entropy adaptive boosting model.

A failure notification system includes a logical configuration provider which provides logical configurations in which a plurality of types of hardware are virtualized, a processor using logical configurations provided from the logical configuration provider, and a failure notifier which notifies the processor 3 of a failure in the logical configuration provider. A notifier includes a storage device 10 which stores hardware configuration data in which an ID of the hardware is associated with an ID of a logical configuration corresponding to the hardware, a logical configuration identifier which identifies a logical configuration corresponding to hardware from which a failure is detected from the hardware configuration data when a failure in the hardware is detected, and a notifier which notifies the processor of occurrence of a failure in the logical configuration identified by the logical configuration identifier.