Hewlett Packard Enterprise Development LP

Krishna Mohan Elluru

Madhusoodhana Chari Sesha

Balaji Sankaran

A Abdul Samadh

Shaun Wakumoto

Rangaprasad Sampath

Ankit Kumar Sinha

Vinay Kumar Vishwakarma

Badrish Havaralu Rama Chandra Adiga

Esteban Rodriguez Betancourt

Shantha Kumara

M Arun Kumar

Jayachandra Babu K

Sai Ram Ganna

Jayanth Ananthapadmanaban

Suresh Rukmangathan

Systems and methods are provided for collecting data related to changes to a data store table, which may be used for analyzing problems that occur in the network. The information monitored may include types of changes made to a data store/table, such as insertions and deletions of data store elements. When an anomaly occurs in the statistical data store/table data, an alert is issued. This statistical data of the types of changes to a data store may be suggestive of similar changes in a network. For example, the uptime, inactive time, and stable time of rows of a data store table may be used for estimating or inferring the uptime, inactive time, and stable time for nodes, data paths, or other elements of a network. The system may include a web UI or a command line interface, which may aid in diagnosing problems in the network, and taking corrective action.

Computing network information based on data store changes

A network management service controls the flow of messages (e.g., management messages) with a credit-based system. The network management service may be a cloud-based network management service. A message credit quantity for a managed network device is calculated by the network management service based on multiple criteria. The message credit quantity is communicated to the managed network device. The managed network device limits its sending of management messages to the network management service based on its assigned quantity of message credits.

Credit-based network management service messaging

A system and a method of classifying data and providing an accuracy of classification are described. The method includes determining values of statistical features associated with data packets present in a data stream. The values of statistical features are provided to a data model for producing a classification output including the data packets classified into one or more categories. While producing the classification output, the data model extracts heuristics for each of the values of statistical features, compares the heuristics with one or more conditional checks defined at each node within the data model, and determines a cumulative score based on results of the comparing. The cumulative score is determined by aggregating a score assigned to successful clearance of each conditional check. The cumulative score indicates an accuracy of the classification output.

System and method of classifying data and providing an accuracy of classification

A system and a method for performing programmable analytics on network data are described. A data layer constructs flow behavior information based on information present within headers of data packets flowing across one or more network devices configured in a computer network. An inline heuristics layer performs one or more inline heuristic operations on the flow behavior information to obtain aggregate statistical information. An integrated analytics layer performs one or more analytical operations on the flow behavior information to obtain network insights. A presentation layer filters and plots information obtained from the data layer, the inline heuristics layer, and the integrated analytics layer, based on a user input.

System and method for performing programmable analytics on network data

One embodiment of the present invention provides a switch. The switch includes a storage device, a processing module, and a database module. The storage device can maintain a database storing configuration information for the switch. During operation, the processing module produces a piece of data associated with operations of the switch based on the configuration information. The database module then stores the piece of data in a database table of the database without caching the piece of data in a memory of the switch after the piece of data is stored in the database. In this way, the database module can reduce the memory occupancy of the processing module in comparison with the storage occupancy of a schema corresponding to the database table. Subsequently, the processing module can program a hardware module of the switch with the piece of data prior to receiving an acknowledgment from the database module.

Method and system for database enhancement in a switch

Example approaches for authenticating a device are described. In an example, a category, from a plurality of categories, is identified for a device, based on data packets exchanged between the device and a network element. The category is indicative of operational capabilities of the device. Based on the category identified for the device, an authentication order for the device is determined. The authentication order is indicative of a sequence in which a set of authentication tests is to be executed for authentication of the device.

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Bengaluru, India

Krishna Mohan Elluru