VIVoNet: Visually-Represented, Intent-Based, Voice-Assisted Networking

B, Chaudhari A; Asthana, Amrita; Kaluskar, Atharva; Gedia, Dewang; Karani, Lakshay; Perigo, Levi; Gandotra, Rahil; Gangwar, Sapna

doi:10.5121/ijcnc.2019.11201

Cited by 13 publications

(3 citation statements)

References 15 publications

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“…VivoNet is an existing policy that automate network configurations through intent; specifically, voice commands. The system will accept voice inputs from user and dynamically convert it into intents and implement on suitable network infrastructure (Chaudhari, et al, 2019). The front end and the REST API were developed by Django.…”

Section: Policy Implementation Using Software-defined Networkmentioning

confidence: 99%

“…The slot-types values and the intent will be sent to REST API by POST request. VIVoNet can achieve agility as it required 0.0016 seconds on average to create, push and verify flow for one intent (Chaudhari, et al, 2019).…”

Section: Policy Implementation Using Software-defined Networkmentioning

confidence: 99%

“…The use of the OpenFlow protocol enables the controller to communicate with the network devices to implement these changes. Meanwhile, VivoNet (Chaudhari, et al, 2019) was developed by Django that use voice assistance to capture networking intents. Leveraging on NLP, the components of VIVoNet are runs as VMs on VMWARE ESXi hypervisor are trained to accept high level voice input for configuration jobs.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Intent-Based Network Policy to Solution Architecting Recommendations

Aun

Min

Gan

et al. 2021

International Journal of Business Data Communications and Networking

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The semantic diversity of policies written by people with different IT literacy to achieve certain network security or performance goals created ambiguity to otherwise straightforward solution implementations. In this project, an intent-aware solution recommender is designed to decode semantic cues in network policies written by various demographics for robust solution recommendations. A novel policy analyzer is designed to extract the intrinsic networking intents from ICT policies to provide context-specific solution recommendations. A custom network-aware intent recognizer is trained on a small keywords-to-intents dataset annotated by domain experts using NLP algorithms in AWS comprehend. The bin-of-words model is then used to classify sentences in the policies into predicted ‘intent' class. A collaborative filtering recommendation system using crowd-sourced ground-truth is designed to suggest optimal architecting solutions to achieve the requirements outlined in ICT policies.

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Section: Policy Implementation Using Software-defined Networkmentioning

confidence: 99%

Section: Policy Implementation Using Software-defined Networkmentioning

confidence: 99%

mentioning

confidence: 99%

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Intent-Based Network Policy to Solution Architecting Recommendations

Aun

Min

Gan

et al. 2021

International Journal of Business Data Communications and Networking

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SDVoIP—A Software-Defined VoIP Framework For SIP And Dynamic QoS

Gandotra

Perigo

2020

The Computer Journal

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Software-defined networking (SDN) allows for the decoupling of the control and data planes, enabling more programmability and a global view of the network. Previous research indicates that traditional applications recreated using SDN principles allow for more granularity and customization. In this research, we extend the insights behind SDN to develop a Voice over Internet Protocol (VoIP) framework with the objective to enhance traditional Session Initiation Protocol (SIP) operation and quality of service (QoS) approaches. The contributions of this research are 2-fold: first, an SIP control application is implemented, which communicates with an SDN controller to provide VoIP call registration and call routing capabilities, thereby eliminating the need for specialized SIP proxy hardware devices; second, a dynamic QoS application is developed that provides the ability to make network-wide QoS decisions based on real-time network measurements of latency, bandwidth and packet loss. Functional validation of the framework is performed to verify its operation. The experiment results indicate that the proposed framework allows for enhancements to traditional QoS implementations.

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NLP Powered Intent Based Network Management for Private 5G Networks

et al. 2023

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Intent driven networking holds the promise of simplifying network operations by allowing operators to use declarative, instead of imperative, interfaces. Adoption of this technology for 5G and beyond networks is however still in its infancy, where the required architectures, platforms, interfaces and algorithms are still being discussed. In this work, we present the design and implementation of a novel intent based platform for private 5G networks powered by a Natural Language Processing (NLP) interface. We demonstrate how our platform simplifies network operations in three relevant private network use cases, including: i) an intent based slice provisioning use case, ii) an intent based positioning use case, and iii) an intent based service deployment use case. Finally, all use cases are benchmarked in terms of intent provisioning time.

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VIVoNet: Visually-Represented, Intent-Based, Voice-Assisted Networking

Cited by 13 publications

References 15 publications

Intent-Based Network Policy to Solution Architecting Recommendations

Intent-Based Network Policy to Solution Architecting Recommendations

SDVoIP—A Software-Defined VoIP Framework For SIP And Dynamic QoS

NLP Powered Intent Based Network Management for Private 5G Networks

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