System and method for enabling intelligent network services by cognitive sense-analyze-decide-respond framework

Patent metadata

Field	Value
Publication number	US-11146640-B2
Application number	US-201916566365-A
Country	US
Kind code	B2
Filing date	Sep 10, 2019
Priority date	Sep 10, 2018
Publication date	Oct 12, 2021
Grant date	Oct 12, 2021

Abstract

In the field of Internet of Things understanding need of applications and translating them to network parameters and protocol parameters is a major challenge. This disclosure addresses problem of enabling network services by cognitive sense-analyze-decide-respond framework. A processor implemented method is provided for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework. The processor implemented method includes sensing, at least one application parameter and at least one network parameter to obtain a plurality of sensed information; analyzing, the plurality of sensed information is filtered and synchronized to generate a plurality of derived parameters; determining, a plurality of rules based on the plurality of derived parameters; validating, the plurality of rules for a plurality of scenarios to obtain plurality of decisions; and enabling, at least one of (i) network, (ii) application and (iii) protocol control based on the plurality of decisions.

First claim

What is claimed is:

1. A processor implemented method for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework, comprising:
sensing, via one or more hardware processors, at least one application parameter and at least one network parameter to obtain a plurality of sensed information, wherein the plurality of sensed information is a multi-time scaled data set obtained for a plurality of use cases;
analyzing, via the one or more hardware processors, the plurality of sensed information being filtered and synchronized to generate a plurality of derived parameters, wherein analyzing is performed through a middle layer placed between a network controller and an application and wherein the middle layer comprises at least one of: (a) data store module executed by the hardware processor to store state information, requests, devices information, policy; (b) core module executed by the hardware processor to provide services to applications and translation to low device level operations; (c) monitor module executed by the hardware processor to monitor devices, network, topology, statistics collection; (d) Quality of Service Module executed by the hardware processor configured to perform path provisioning, traffic engineering, policy management; (e) Virtualization Module executed by the hardware processor for Virtualization of devices, Network Functions Virtualization (NFV); (f) Infra assistant for device configurations and states; and (g) network assistant for network services;
determining, via the one or more hardware processors, a plurality of rules based on the plurality of derived parameters;
validating, via the one or more hardware processors, the plurality of rules for a plurality of scenarios to obtain a plurality of decisions, wherein the plurality of decisions correspond to a real-time decision or an off-line decision and wherein the validation is performed by an emulator based testing and wherein the sensed information and synthetic data generated by emulation are used for modeling, training and decision making and wherein the emulator is configured to check at least one of (i) one or more scenario, (ii) throughput, (iii) existing rules and methods and generation of new rules or algorithms; and
enabling, via the one or more hardware processors, at least one of (i) a network, (ii) an application and (iii) a protocol control based on the plurality of decisions.

2. The processor implemented method of claim 1 , wherein the at least one application parameter corresponds to at least one of: (i) a plurality of Quality of Service (QOS) parameters, and (ii) a plurality of Key Performance Index (KPI) parameters.

3. The processor implemented method of claim 1 , wherein the at least one network parameter corresponds to at least one of (i) bandwidth availability and usage, (ii) a plurality of delay characteristics, (iii) a port availability at a switch, (iv) an end-to-end network availability, (v) a signal to interference and noise ratio (SINR) or received signal strength indicator (RSSI), and (vi) a plurality of protocol related parameters.

4. The processor implemented method of claim 1 , further comprising predicting subsequent state of the networks and the applications based on a current sensed data.

5. A sense analyze decide respond (SADR) system ( 100 ) with a cognitive platform to enable network aware applications and applications aware networks, comprising:
a memory ( 102 ) storing instructions;
one or more communication interfaces ( 104 ); and
one or more hardware processors ( 106 ) coupled to the memory ( 102 ) via the one or more communication interfaces ( 104 ), wherein the one or more hardware processors ( 106 ) are configured by the instructions to:
sense, at least one application parameter and at least one network parameter to obtain a plurality of sensed information, wherein the plurality of sensed information is a multi-time scaled data set obtained for a plurality of use cases;
analyze, the plurality of sensed information being filtered and synchronized to generate a plurality of derived parameters, wherein analyzing is performed through a middle layer placed between a network controller and an application and wherein the middle layer comprises at least one of: (a) data store module executed by the hardware processor to store state information, requests, devices information, policy; (b) core module executed by the hardware processor to provide services to applications and translation to low device level operations; (c) monitor module executed by the hardware processor to monitor devices, network, topology, statistics collection; (d) Quality of Service Module executed by the hardware processor configured to perform path provisioning, traffic engineering, policy management; (e) Virtualization Module executed by the hardware processor for Virtualization of devices, Network Functions Virtualization (NFV); (f) Infra assistant for device configurations and states; and (g) network assistant for network services;
determine, a plurality of rules based on the plurality of derived parameters;
validate, the plurality of rules for a plurality of scenarios to obtain a plurality of decisions, wherein the plurality of decisions correspond to a real-time decision or an off-line decision and wherein the validation is performed by an emulator based testing and wherein the sensed information and synthetic data generated by emulation are used for modeling, training and decision making and wherein the emulator is configured to check at least one of (i) one or more scenario, (ii) throughput, (iii) existing rules and methods and generate new rules or algorithms; and
enable, at least one of (i) a network, (ii) an application and (iii) a protocol control based on the plurality of decisions.

6. The SADR system of claim 5 , wherein the at least one application parameter corresponds to at least one of: (i) a plurality of Quality of Service (QOS) parameters, and (ii) a plurality of Key Performance Index (KPI) parameters.

7. The SADR system of claim 5 , wherein the at least one network parameter corresponds to at least one of (i) bandwidth availability and usage, (ii) plurality of delay characteristics, (iii) a port availability at a switch, (iv) an end-to-end network availability, (v) a signal to interference and noise ratio (SINR) or received signal strength indicator (RSSI), and (vi) a plurality of protocol related parameters.

8. The SADR system of claim 5 , wherein the one or more hardware processors ( 106 ) are further configured by the instructions to predict subsequent state of the networks and applications based on a current sensed data.

Assignees

• Tata Consultancy Services Ltd

Inventors

• Rath Hemant Kumar
• Nadaf Shameemraj Mohinuddin
• Panigrahi Bighnaraj
• Karjee Jyotirmoy
• Shailendra Samar
• Bhattacharyya Abhijan
• Mishra Garima
• Pal Arpan
• Purushothaman Balamurlidhar

Classifications

• H04L43/08

  Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters · CPC title

• H04L41/40

  using virtualisation of network functions or resources, e.g. SDN or NFV entities · CPC title

• H04L67/125 Primary

  involving control of end-device applications over a network · CPC title

• H04L43/028 Primary

  by filtering · CPC title

• H04W4/70

  Services for machine-to-machine communication [M2M] or machine type communication [MTC] · CPC title