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A virtual network mapping algorithm based on subgraph isomorphism detection

Authors:

Holger KarlAuthors Info & Claims

VISA '09: Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures

Pages 81 - 88

https://doi.org/10.1145/1592648.1592662

Published: 17 August 2009 Publication History

Abstract

Assigning the resources of a virtual network to the components of a physical network, called Virtual Network Mapping, plays a central role in network virtualization. Existing approaches use classical heuristics like simulated annealing or attempt a two stage solution by solving the node mapping in a first stage and doing the link mapping in a second stage.

The contribution of this paper is a Virtual Network Mapping (VNM) algorithm based on subgraph isomorphism detection: it maps nodes and links during the same stage. Our experimental evaluations show that this method results in better mappings and is faster than the two stage approach, especially for large virtual networks with high resource consumption which are hard to map.

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Cited By

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https://doi.org/10.3390/electronics13163189
Zhang PYan KKumar NTan LGuizani MKostromitin KWang JZhang J(2024)A service function chain mapping scheme based on functional aggregation in space-air-ground integrated networksJournal of Network and Computer Applications10.1016/j.jnca.2024.103829224(103829)Online publication date: Apr-2024
https://doi.org/10.1016/j.jnca.2024.103829
Han YYu JZuo PWei ZJin XDou KGuo CXu H(2023)Security Resource Scheduling Algorithm for Intelligent UAV Communication Network Based on Optimized Subgraph Isomorphism and Link PartitionElectronics10.3390/electronics1209209612:9(2096)Online publication date: 4-May-2023
https://doi.org/10.3390/electronics12092096
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A virtual network mapping algorithm based on subgraph isomorphism detection

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Published In

cover image ACM Conferences

VISA '09: Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures

August 2009

112 pages

ISBN:9781605585956

DOI:10.1145/1592648

Program Chairs:
Guru Parulkar
Stanford University,USA
,
Cedric Westphal
Docomo Labs, USA

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 August 2009

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SIGCOMM '09

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SIGCOMM '09: ACM SIGCOMM 2009 Conference

August 17, 2009

Barcelona, Spain

Acceptance Rates

VISA '09 Paper Acceptance Rate 12 of 36 submissions, 33%;

Overall Acceptance Rate 12 of 36 submissions, 33%

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Cited By

Zhang LLi JYang QXu CZhao F(2024)MADDPG-Based Deployment Algorithm for 5G Network SlicingElectronics10.3390/electronics1316318913:16(3189)Online publication date: 12-Aug-2024
https://doi.org/10.3390/electronics13163189
Zhang PYan KKumar NTan LGuizani MKostromitin KWang JZhang J(2024)A service function chain mapping scheme based on functional aggregation in space-air-ground integrated networksJournal of Network and Computer Applications10.1016/j.jnca.2024.103829224(103829)Online publication date: Apr-2024
https://doi.org/10.1016/j.jnca.2024.103829
Han YYu JZuo PWei ZJin XDou KGuo CXu H(2023)Security Resource Scheduling Algorithm for Intelligent UAV Communication Network Based on Optimized Subgraph Isomorphism and Link PartitionElectronics10.3390/electronics1209209612:9(2096)Online publication date: 4-May-2023
https://doi.org/10.3390/electronics12092096
Geng HWang RWu FYan JSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural PredictionProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599358(531-543)Online publication date: 6-Aug-2023
https://dl.acm.org/doi/10.1145/3580305.3599358
Chen WLiu YLiu FDai YLuo Z(2023)Towards Efficient Large-Scale Network Slicing: An LP Dynamic Rounding-and-Refinement ApproachIEEE Transactions on Signal Processing10.1109/TSP.2023.324467171(615-630)Online publication date: 2023
https://doi.org/10.1109/TSP.2023.3244671
Lin RHe LLuo SZukerman M(2023)Energy-Aware Service Function Chaining Embedding in NFV NetworksIEEE Transactions on Services Computing10.1109/TSC.2022.316232816:2(1158-1171)Online publication date: 1-Mar-2023
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Ma SYao HMai TYang JHe WXue KGuizani M(2023)Graph Convolutional Network Aided Virtual Network Embedding for Internet of ThingIEEE Transactions on Network Science and Engineering10.1109/TNSE.2022.320720510:1(265-274)Online publication date: 1-Jan-2023
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Faticanti FSavi MDe Pellegrini FSiracusa D(2023)Locality-aware deployment of application microservices for multi-domain fog computingComputer Communications10.1016/j.comcom.2023.02.012203(180-191)Online publication date: Apr-2023
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