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 MIGRATING NETWORK POLICIES OF SOFTWARE-DEFINED NETWORK COMPONENTS

    公开(公告)号:US20210028985A1

    公开(公告)日:2021-01-28

    申请号:US16591647

    申请日:2019-10-03

    Applicant: VMWARE, INC.

    Abstract: A system and method for migrating configurations of a software-defined network (SDN) component from a source computing environment to a destination computing environment uses a configuration export file that includes a metadata section and a templates section. The metadata section includes correlation keys for dependencies found in fetched configurations of the SDN component that correspond to dependency keywords in a configurable dictionary. The templates section includes reframed configurations of the dependencies with at least one reference to the correlation keys in the metadata section. At least some correlation-key references within reframed configurations in the templates section of the configuration export file are substituted with correlation-key replacements for the destination computing environment, which are then applied to a target SDN component in the destination computing environment.

    System and method for migrating network policies of software-defined network components

    公开(公告)号:US10924346B1

    公开(公告)日:2021-02-16

    申请号:US16591647

    申请日:2019-10-03

    Applicant: VMWARE, INC.

    Abstract: A system and method for migrating configurations of a software-defined network (SDN) component from a source computing environment to a destination computing environment uses a configuration export file that includes a metadata section and a templates section. The metadata section includes correlation keys for dependencies found in fetched configurations of the SDN component that correspond to dependency keywords in a configurable dictionary. The templates section includes reframed configurations of the dependencies with at least one reference to the correlation keys in the metadata section. At least some correlation-key references within reframed configurations in the templates section of the configuration export file are substituted with correlation-key replacements for the destination computing environment, which are then applied to a target SDN component in the destination computing environment.

    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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