Ca, Inc.

Preetdeep Kumar

Shweta Tiwari

Michael Paul Shevenell

Philippe Dubost

Ravindra Kumar Puli

Brian John Hughes

Steven Lloyd Greenspan

Serguei Mankovskii

Rashmi Gupta

A computing device analyzes the transaction entries in a transaction log to identify related commands associated with performing a set of data operations. Commands are considered to be potentially related if the commands are executed within a predetermined timespan. Sets of potentially related commands are then grouped together into corresponding candidate patterns, and further analyzed in view of additional information to determine a probability that the potentially related commands of a candidate pattern are actually related. A confidence value indicating that probability is also determined. Application management tasks, such as database optimization and recovery tasks, for example, may then be performed based on the candidate patterns that meet or exceed a predetermined threshold.

Grouping of database objects

Systems and methods may include receiving, by an expert system, performance data for a monitored system. The systems and methods may include generating a prediction for the monitored system in response to determining that the performance data satisfies a condition. The prediction may identify an anomaly that is predicted to occur. The systems and methods may include receiving, by a filter system, the prediction, information identifying the condition, and user information. The user information may include user preference information and user feedback information. The systems and methods may include determining a filter criteria based on the user information. The filter criteria may be based on the preferences for predictions to be provided to the user and on the historical user feedback regarding the historical predictions. The systems and methods may include providing the prediction to the user in response to determining that the particular prediction satisfies the filter criteria.

Feedback and customization in expert systems for anomaly prediction

A method includes performing, by a processor: receiving a selection of a network service, determining a plurality of Virtual Network Functions (VNFs) and a plurality of Virtual Machines (VMs) based on the selection of the network service, the plurality of VNFs being configured to run on the plurality of VMs, generating a plurality of tuples, each of the plurality of tuples corresponding to a combination of one of the plurality of VNFs and one of the plurality of VMs where the one of the plurality of VNFs is configured to run on the one of the plurality of VMs, receiving a plurality of VNF performance parameters, estimating values for each of the plurality of VNF performance parameters for each of the plurality of tuples, respectively, processing the values for each of the plurality of VNF performance parameters to generate a plurality of scores for the plurality of tuples, respectively, generating a plurality of VNF Forwarding Graphs (FGs), each of the VNF FGs corresponding to a combination of ones of the plurality of tuples that support the network service, generating a plurality of grade scores for the plurality of VNF FGs, respectively, based on the plurality of scores for the plurality of tuples, and provisioning the network service on one of the plurality of VNF FGs based on the plurality of grade scores.

Provisioning of network services based on virtual network function performance characteristics

A first message that conforms to a first software-defined networking protocol is received from a first source component. A first destination component associated with the first message is identified. A second software-defined networking protocol is determined based, at least in part, on the first destination component. The second software-defined networking protocol is one of a plurality of software-defined networking protocols. A second message that conforms to the second software-defined networking protocol is generated based, at least in part, on the first message. The second message is sent to the first destination component.

Normalized software-defined networking interface

An electronic device includes a processor and a memory coupled to the processor and storing computer readable program code that when executed by the processor causes the processor to perform operations including generating, at given time intervals, a plurality of topology graphs that correspond to a service chain that comprises a plurality of virtual network functions (VNFs) and that is operating in a software defined network (SDN)/network function virtualization (NFV) computing environment, each of the plurality of topology graphs corresponding to a different one of the time intervals. Operations may include comparing a first one of the plurality of topology graphs that is received at a first time to a second one of the plurality of topology graphs that is received at a second time that is after the first time to determine if the service chain has a fault.

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Hyderabad Telangana, India

Preetdeep Kumar