International Business Machines Corporation

Infosys Limited

Gaurav Saxena

Uttam Setty

Dattatreya Govindappanavar

Apoorv Kapse

Santosh Hegde

Kishore Babu Thota

Charan A C

Mohan Narayanaswamy

Allahbaksh Mohammedali Asadullah

Kapish Kumar

Rohit Kumar Pandey

Azad Khan

Devendra Singh Rawat

Lalit Nayar

Ashay Kharpate

Praveen Santhakumari

Ankur Goel

Vishwanath Taware

Sanjay Ravindra Ranade

Ashit Mahendra Shetty

Krishna Ghaitanya Garimella

Amarnath N Reddy

Saba Kauser

Venkatesh K S Babu

A method and/or system for Artificial Intelligence assisted service catalogue generation for network service provisioning is disclosed. The method comprising receiving input data which comprises either or combination of one or more specification documents or one or more configuration changes in network functions and/or network components. The entities and attributes of the entities are extracted from the input data which are then reconciled with graph database representing network function model to determine modifications in the input data. The graph database is updated based on the modifications identified in the input data, and recommendations comprising model elements are generated using AI engines which are displayed at the service modeler interface for generation of the service catalogue for network service provisioning.

System and method for artificial intelligence assisted service catalogue generation for network service provisioning

One or more processors provide selective and piecemeal data loading and utilization. One or more processors prioritize, for loading, a data of a first data type and a data of a second data type. One or more processors generate a partially loaded data table by partially loading the data of the first data type and the data of the second data type into a table within a relational database. One or more processors utilize the partially loaded data table to execute a plurality of computing tasks.

Selective and piecemeal data loading for computing efficiency

A method, computer program product, and a system where a processor(s) monitors communications between one or more clients to a query engine, to identify requests to execute queries on the database resource. Based on identifying a requested query, the processor(s) applies cognitive analysis algorithms to parse components of the requested query, to identify components in the requested query that indicate an execution success measure for the requested query. The processor(s) determines the execution success measure for the requested query and assigns an execution action to the requested query: pre-empting the requested query or executing the requested query. The processor(s) facilitates this action on the requested query.

Machine-learning to alarm or pre-empt query execution

The disclosure provides activation of end to end virtual network services, along with various validations. This technology uses model driven architecture to convert the configurations to VNF/PNF specific commands and abstract the complexity of different types of syntax & command lines. This technology also provides test and diagnostic functionality including service connectivity check, performance, rate-limiting at each step of configuration at virtual infrastructure and functional level. Once the VNS is successfully applied, the configuration will be updated in database which can be referred for any future updates.

Method and system for virtual network service activation

A method, system and computer program product is disclosed for performing data ingestion. A request is received for data ingestion. Based on the request received, a client resource information with a server resource information is compared. After the comparing of client resource information with server resource information, location for formatting of data during data ingestion is determined. Further, in response to the determination of location, formatting of the data is performed at the determined location.

Data ingestion process

A system protects content, by detecting, by a first application interface, a message attribute associated with content received by the first application interface. A syntax parser on a first application parses the content to identify the message attribute. The first application interface embeds a protect attribute in metadata associated with the content, where the protect attribute indicated by the message attribute. The system transmits the content from the first application interface to a second application interface. The second application interface extracts the protect attribute from the metadata associated with the content. The system applies the protect attribute to the content rendered by the second application interface. The system propagates the protect attribute applied to the content when the content is transmitted from the second application interface to at least one third application interface, and then applies the protect attribute to the content rendered by the third application interface.

Privileged and protected announcements, broadcasts, or posts

One or more processors determine a level of data usage for two or more types of data to be loaded in a relational database. One or more processors prioritize data of the two or more types for loading. One or more processors load data of the two or more types in an order based, at least in part, on the level of data usage for the two or more types of data. One or more processors load data of the two or more types into a table within the relational database, the data being loaded in two or more portions and at times based, at least in part, on an availability of computer resources.

One or more processors determine a level of data usage for two or more types of data to be loaded in a database. One or more processors prioritize data of the two or more types for loading. Data of a first data type has a higher priority for loading than data of a second data type when the first data type has a higher level of data usage than the second data type. One or more processors load data of the two or more types in an order based, at least in part, on the level of data usage for the two or more types of data.

Disclosed herein are representative embodiments of tools and techniques for providing network service assurance. One exemplary embodiment includes a framework for network service assurance that includes a presentation layer, a service management layer, a network-infrastructure management layer, and a unified network-access layer. The unified-network-access layer is configured to receive a network request in a standard abstracted format, the network request being associated with at least one network element. The unified network-access layer also being configured to select a vendor adaptor from a plurality of vendor adaptors based on an element type of the at least one network element. The unified network-access layer further being configured to generate a vendor-formatted network request using the vendor adapter, and configured to send the vendor-formatted network request to the at least one network element.

Growing community of inventors

Bengaluru, India

Gaurav Saxena