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SWIFT: Semantic Web Intent Framework for Intent Translation

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Forthcoming

Standard

SWIFT: Semantic Web Intent Framework for Intent Translation. / Alcock, Paul; Anand, Revika; Rotsos, Charalampos et al.
2025. Paper presented at IEEE/IFIP Network Operations and Management Symposium, United Kingdom.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Alcock, P, Anand, R, Rotsos, C & Race, N 2025, 'SWIFT: Semantic Web Intent Framework for Intent Translation', Paper presented at IEEE/IFIP Network Operations and Management Symposium, United Kingdom, 12/05/25 - 16/05/25.

APA

Alcock, P., Anand, R., Rotsos, C., & Race, N. (in press). SWIFT: Semantic Web Intent Framework for Intent Translation. Paper presented at IEEE/IFIP Network Operations and Management Symposium, United Kingdom.

Vancouver

Alcock P, Anand R, Rotsos C, Race N. SWIFT: Semantic Web Intent Framework for Intent Translation. 2025. Paper presented at IEEE/IFIP Network Operations and Management Symposium, United Kingdom.

Author

Alcock, Paul ; Anand, Revika ; Rotsos, Charalampos et al. / SWIFT: Semantic Web Intent Framework for Intent Translation. Paper presented at IEEE/IFIP Network Operations and Management Symposium, United Kingdom.

Bibtex

@conference{6485abd046164cb0926b6f77e548724e,
title = "SWIFT: Semantic Web Intent Framework for Intent Translation",
abstract = "Intent-based networking (IBN) has emerged as apromising paradigm to simplify the management of networkinfrastructures. At the heart of IBN systems lies the intenthandler, a management entity that transforms declarative net-work goals into imperative network configuration that meetsspecific policy and optimization requirements. Practical researchhas produced a number of intent handler implementations,that exhibit specialized use-cases with limited extensibility. Thispaper presents SWIFT, a framework to simplify the developmentof custom intent scenarios. To support this capability, SWIFTdelivers two main contributions. Firstly, it employs an ontologyto abstract several standardized and open network data models(3GPP Core Configuration, ETSI NFV-MANO, ONOS NBI) andsupport the translation of slice delivery intents, modelled usingthe TMForum common intent model, into effective infrastructureconfigurations. Secondly, SWIFT offers a reasoning frameworkfor network operators to implement custom intent handling logicusing logical programming. The reasoner can use the rich infor-mation of the ontology both to automate the translation of intentrequirements, and validate intent goals based on the currentnetwork state. Our proof-of-concept SWIFT implementation canautomate and optimize the delivery of private 5G network slices.Furthermore, we demonstrate the optimal planning and deliveryof mobile slice intents in a real mobile network topology withminimal processing overheads.",
author = "Paul Alcock and Revika Anand and Charalampos Rotsos and Nicholas Race",
year = "2025",
month = mar,
day = "30",
language = "English",
note = "IEEE/IFIP Network Operations and Management Symposium, NOMS ; Conference date: 12-05-2025 Through 16-05-2025",
url = "https://noms2025.ieee-noms.org/",

}

RIS

TY - CONF

T1 - SWIFT: Semantic Web Intent Framework for Intent Translation

AU - Alcock, Paul

AU - Anand, Revika

AU - Rotsos, Charalampos

AU - Race, Nicholas

PY - 2025/3/30

Y1 - 2025/3/30

N2 - Intent-based networking (IBN) has emerged as apromising paradigm to simplify the management of networkinfrastructures. At the heart of IBN systems lies the intenthandler, a management entity that transforms declarative net-work goals into imperative network configuration that meetsspecific policy and optimization requirements. Practical researchhas produced a number of intent handler implementations,that exhibit specialized use-cases with limited extensibility. Thispaper presents SWIFT, a framework to simplify the developmentof custom intent scenarios. To support this capability, SWIFTdelivers two main contributions. Firstly, it employs an ontologyto abstract several standardized and open network data models(3GPP Core Configuration, ETSI NFV-MANO, ONOS NBI) andsupport the translation of slice delivery intents, modelled usingthe TMForum common intent model, into effective infrastructureconfigurations. Secondly, SWIFT offers a reasoning frameworkfor network operators to implement custom intent handling logicusing logical programming. The reasoner can use the rich infor-mation of the ontology both to automate the translation of intentrequirements, and validate intent goals based on the currentnetwork state. Our proof-of-concept SWIFT implementation canautomate and optimize the delivery of private 5G network slices.Furthermore, we demonstrate the optimal planning and deliveryof mobile slice intents in a real mobile network topology withminimal processing overheads.

AB - Intent-based networking (IBN) has emerged as apromising paradigm to simplify the management of networkinfrastructures. At the heart of IBN systems lies the intenthandler, a management entity that transforms declarative net-work goals into imperative network configuration that meetsspecific policy and optimization requirements. Practical researchhas produced a number of intent handler implementations,that exhibit specialized use-cases with limited extensibility. Thispaper presents SWIFT, a framework to simplify the developmentof custom intent scenarios. To support this capability, SWIFTdelivers two main contributions. Firstly, it employs an ontologyto abstract several standardized and open network data models(3GPP Core Configuration, ETSI NFV-MANO, ONOS NBI) andsupport the translation of slice delivery intents, modelled usingthe TMForum common intent model, into effective infrastructureconfigurations. Secondly, SWIFT offers a reasoning frameworkfor network operators to implement custom intent handling logicusing logical programming. The reasoner can use the rich infor-mation of the ontology both to automate the translation of intentrequirements, and validate intent goals based on the currentnetwork state. Our proof-of-concept SWIFT implementation canautomate and optimize the delivery of private 5G network slices.Furthermore, we demonstrate the optimal planning and deliveryof mobile slice intents in a real mobile network topology withminimal processing overheads.

M3 - Conference paper

T2 - IEEE/IFIP Network Operations and Management Symposium

Y2 - 12 May 2025 through 16 May 2025

ER -