SYSTEM AND METHOD FOR DISTRIBUTED ORCHESTRATION MANAGEMENT IN NETWORK FUNCTION VIRTUALIZATION

    公开(公告)号:US20220035650A1

    公开(公告)日:2022-02-03

    申请号:US17017850

    申请日:2020-09-11

    Applicant: VMWARE, INC.

    Abstract: A system and method for orchestrating distributed operations to be executed in a distributed computing system with multiple virtual infrastructures uses a distributed operation descriptor to find any Cloud-Native Network Function (CNF) entry in the distributed operation descriptor. For each found CNF entry, a CNF descriptor is retrieved from a CNF catalog and parsed to find an overridable property for a CNF described in the CNF descriptor for which a property override is defined. Then, a target virtual infrastructure is selected from the multiple virtual infrastructures to perform a lifecycle management operation of the CNF. Instructions are then transmitted to a local operator in the target virtual infrastructure with the property override so that information regarding the CNF is transmitted to a local orchestrator of the target virtual infrastructure to perform the lifecycle management operation of the CNF at the target virtual infrastructure using the property override.

    System and method for performing failure analysis on a computing system using a bayesian network

    公开(公告)号:US11561850B1

    公开(公告)日:2023-01-24

    申请号:US17506602

    申请日:2021-10-20

    Applicant: VMware, Inc.

    Abstract: A system and method for performing a failure analysis on a computing system uses a Bayesian network that is generated from a correlation directed acyclic graph (CDAG) of nodes that represent entities in the computing system with edge weights for edges between the nodes. The CDAG is generated using log entries of the computing system with reference to a dictionary file, which specifies entity types, dependency types of the entity types, expressions that return values representing prior probabilities of failure for the dependency types, and the edge weights for the dependency types. The Bayesian network generated from the CDAG includes conditional probabilities for edges of the Bayesian network based on the edge weights of the CDAG. The Bayesian network is used to compute posterior probabilities of possible causes of a new failure event in the computing system and output at least one probable cause with an associated posterior probability for the new failure event.

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