CAVP-IB-QoS: A Context-Aware, Verifiable, and Proactive Framework for Intent-Based Network QoS

CAVP-IB-QoS: A Context-Aware, Verifiable, and Proactive Framework for Intent-Based Network QoS | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article CAVP-IB-QoS: A Context-Aware, Verifiable, and Proactive Framework for Intent-Based Network QoS Xiaofei Zhao, Hua Wang, Amin Huang, Qingqing Tian, Zhiming Hu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6113184/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Modern networks require robust Quality of Service (QoS) guarantees in dynamic environments, a challenge for traditional and even Software-Defined Networking (SDN) solutions. Intent-Based Networking (IBN) offers a solution by enabling users to express high-level intents. This paper introduces CAVP-IB-QoS, a novel context-aware, verifiable, and proactive framework for QoS management in IBNs. CAVP-IB-QoS features a hybrid intent model, context-aware policy synthesis, adaptive policy enforcement, and proactive optimization. This work focuses on evaluating the policy synthesis and adaptation through simulation. We compare CAVP-IB-QoS with Weighted Fair Queueing (WFQ), Priority Queueing, 1 and Static Allocation, using a Python-based simulator with a simplified network topology and dynamic traffic. Results demonstrate that CAVP-IB-QoS significantly outperforms the baselines in intent fulfillment rate, while maintaining comparable average latency. CAVP-IB-QoS achieved a 36% mean intent fulfillment rate, substantially higher than WFQ (12%), Priority Queueing (28%), and Static Allocation (0%). This is attributed to dynamic prioritization of flows based on user intents and adaptive bandwidth allocation. While the evaluation uses simplified routing and topology, the findings highlight the potential of CAVP-IB-QoS for robust QoS management in IBNs. Formal verification and digital twin-based optimization (PQDT) are part of the complete CAVP-IB-QoS design, but are left for future work. Intent-Based Networking (IBN) Quality of Service (QoS) Context-Aware Verifiable Proactive Hybrid Intent Model Policy Synthesis Policy Enforcement Digital Twin Network Management Simulation Optimization Adaptation Formal Methods Software-Defined Networking (SDN) Network Telemetry Artificial Intelligence (AI) Machine Learning (ML) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6113184","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":421753333,"identity":"1dcbbf92-25b5-49ba-b093-7ecd82ccc4f4","order_by":0,"name":"Xiaofei Zhao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA10lEQVRIiWNgGAWjYDACZsYHBxgbGBj4QZyEAqK0MBuAtUg2gLQYEGeNAQNIi8EBEIcYLQbHmRkP/txhJ2d8fnXihwcGDPL8Ygfwa5FsZmY4IHkm2djsxtvNEkCHGc6cnYBfCz8z/4EDhm3MidtunN0A0pJgcJuAFjZmoC2JbfWJm2ec3fyDKC38IC0H2w4nbuDv3UacLSC/HGxsO24scYN3m0WCgQRhvxicP8z88WdbtRx//9nNN39U2MjzSxPQggASYJUSxCoHAf4DpKgeBaNgFIyCkQQAaBJEGwlHaMIAAAAASUVORK5CYII=","orcid":"","institution":"Lanzhou Petrochemical University of Vocational Technology","correspondingAuthor":true,"prefix":"","firstName":"Xiaofei","middleName":"","lastName":"Zhao","suffix":""},{"id":421753334,"identity":"940c4934-87bb-42d0-9a2b-7a04539cbfe1","order_by":1,"name":"Hua Wang","email":"","orcid":"","institution":"State Grid Gansu Electric Power Company","correspondingAuthor":false,"prefix":"","firstName":"Hua","middleName":"","lastName":"Wang","suffix":""},{"id":421753335,"identity":"f60d32a7-36c4-41f3-bc5f-744210d59f84","order_by":2,"name":"Amin Huang","email":"","orcid":"","institution":"Northwest Normal University","correspondingAuthor":false,"prefix":"","firstName":"Amin","middleName":"","lastName":"Huang","suffix":""},{"id":421753336,"identity":"42e56d25-468d-4ba5-aec4-e79203aaddb2","order_by":3,"name":"Qingqing Tian","email":"","orcid":"","institution":"Lanzhou Petrochemical University of Vocational Technology","correspondingAuthor":false,"prefix":"","firstName":"Qingqing","middleName":"","lastName":"Tian","suffix":""},{"id":421753337,"identity":"28ef401d-fcfd-4abf-b185-34dd6aca7e85","order_by":4,"name":"Zhiming Hu","email":"","orcid":"","institution":"Lanzhou Petrochemical University of Vocational Technology","correspondingAuthor":false,"prefix":"","firstName":"Zhiming","middleName":"","lastName":"Hu","suffix":""}],"badges":[],"createdAt":"2025-02-26 12:38:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6113184/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6113184/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":83826291,"identity":"923d0123-590c-4741-ade3-454fc38e6b88","added_by":"auto","created_at":"2025-06-03 10:09:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1364644,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6113184/v1_covered_5b7c83a0-f46a-47ea-beca-b9d451de3aec.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"CAVP-IB-QoS: A Context-Aware, Verifiable, and Proactive Framework for Intent-Based Network QoS","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Intent-Based Networking (IBN), Quality of Service (QoS), Context-Aware, Verifiable, Proactive, Hybrid Intent Model, Policy Synthesis, Policy Enforcement, Digital Twin, Network Management, Simulation, Optimization, Adaptation, Formal Methods, Software-Defined Networking (SDN), Network Telemetry, Artificial Intelligence (AI), Machine Learning (ML)","lastPublishedDoi":"10.21203/rs.3.rs-6113184/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6113184/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Modern networks require robust Quality of Service (QoS) guarantees in dynamic environments, a challenge for traditional and even Software-Defined Networking (SDN) solutions. Intent-Based Networking (IBN) offers a solution by enabling users to express high-level intents. This paper introduces CAVP-IB-QoS, a novel context-aware, verifiable, and proactive framework for QoS management in IBNs. CAVP-IB-QoS features a hybrid intent model, context-aware policy synthesis, adaptive policy enforcement, and proactive optimization. This work focuses on evaluating the policy synthesis and adaptation through simulation. We compare CAVP-IB-QoS with Weighted Fair Queueing (WFQ), Priority Queueing, 1 and Static Allocation, using a Python-based simulator with a simplified network topology and dynamic traffic. Results demonstrate that CAVP-IB-QoS significantly outperforms the baselines in intent fulfillment rate, while maintaining comparable average latency. CAVP-IB-QoS achieved a 36% mean intent fulfillment rate, substantially higher than WFQ (12%), Priority Queueing (28%), and Static Allocation (0%). This is attributed to dynamic prioritization of flows based on user intents and adaptive bandwidth allocation. While the evaluation uses simplified routing and topology, the findings highlight the potential of CAVP-IB-QoS for robust QoS management in IBNs. 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