research-article

Virtual network diagnosis as a service

Authors:

Aditya Akella, and

Anees ShaikhAuthors Info & Claims

SOCC '13: Proceedings of the 4th annual Symposium on Cloud Computing

October 2013

Article No.: 9, Pages 1 - 15

https://doi.org/10.1145/2523616.2523621

Published: 01 October 2013 Publication History

Abstract

Today's cloud network platforms allow tenants to construct sophisticated virtual network topologies among their VMs on a shared physical network infrastructure. However, these platforms provide little support for tenants to diagnose problems in their virtual networks. Network virtualization hides the underlying infrastructure from tenants as well as prevents deploying existing network diagnosis tools. This paper makes a case for providing virtual network diagnosis as a service in the cloud. We identify a set of technical challenges in providing such a service and propose a Virtual Network Diagnosis (VND) framework. VND exposes abstract configuration and query interfaces for cloud tenants to troubleshoot their virtual networks. It controls software switches to collect flow traces, distributes traces storage, and executes distributed queries for different tenants for network diagnosis. It reduces the data collection and processing overhead by performing local flow capture and on-demand query execution. Our experiments validate VND's functionality and shows its feasibility in terms of quick service response and acceptable overhead; our simulation proves the VND architecture scales to the size of a real data center network.

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Cited By

Chen HChen PWang BYu XChen XMa DZheng Z(2024)Graph neural network based robust anomaly detection at service level in SDN driven microservice systemComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.110135239:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.comnet.2023.110135
Shobhana BNarayana SNath B(2022)Load balancers need in-band feedback controlProceedings of the 21st ACM Workshop on Hot Topics in Networks10.1145/3563766.3564094(76-84)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3563766.3564094
Fang CLiu HMiao MYe JWang LZhang WKang DLyu BZhu SCheng PChen J(2022)Towards Automatic Root Cause Diagnosis of Persistent Packet Loss in Cloud Overlay NetworkIEEE/ACM Transactions on Networking10.1109/TNET.2021.313755730:3(1178-1192)Online publication date: Jun-2022
https://doi.org/10.1109/TNET.2021.3137557
Show More Cited By

Index Terms

Virtual network diagnosis as a service

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Published In

cover image ACM Conferences

SOCC '13: Proceedings of the 4th annual Symposium on Cloud Computing

October 2013

427 pages

ISBN:9781450324281

DOI:10.1145/2523616

General Chair:
Guy Lohman

Copyright © 2013 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: 01 October 2013

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SOCC '13

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SOCC '13: ACM Symposium on Cloud Computing

October 1 - 3, 2013

California, Santa Clara

Acceptance Rates

SOCC '13 Paper Acceptance Rate 23 of 114 submissions, 20%;

Overall Acceptance Rate 169 of 722 submissions, 23%

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Cited By

Chen HChen PWang BYu XChen XMa DZheng Z(2024)Graph neural network based robust anomaly detection at service level in SDN driven microservice systemComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.110135239:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.comnet.2023.110135
Shobhana BNarayana SNath B(2022)Load balancers need in-band feedback controlProceedings of the 21st ACM Workshop on Hot Topics in Networks10.1145/3563766.3564094(76-84)Online publication date: 14-Nov-2022
https://dl.acm.org/doi/10.1145/3563766.3564094
Fang CLiu HMiao MYe JWang LZhang WKang DLyu BZhu SCheng PChen J(2022)Towards Automatic Root Cause Diagnosis of Persistent Packet Loss in Cloud Overlay NetworkIEEE/ACM Transactions on Networking10.1109/TNET.2021.313755730:3(1178-1192)Online publication date: Jun-2022
https://doi.org/10.1109/TNET.2021.3137557
Gao JYaseen NMacDavid RFrujeri FLiu VBianchini RAditya RWang XLee HMaltz DYu MArzani B(2020)ScoutsProceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication10.1145/3387514.3405867(253-269)Online publication date: 30-Jul-2020
https://dl.acm.org/doi/10.1145/3387514.3405867
Dong WCao CZhang XGao Y(2019)Understanding Path Reconstruction Algorithms in Multihop Wireless NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2018.287960727:1(1-14)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1109/TNET.2018.2879607
Liu JXiao SLi YSong HJin DSu L(2019)NetWatch: End-to-End Network Performance Measurement as a Service for CloudIEEE Transactions on Cloud Computing10.1109/TCC.2016.26283667:2(553-567)Online publication date: 1-Apr-2019
https://doi.org/10.1109/TCC.2016.2628366
Gogunska KBarakat CUrvoy-Keller GLopez-Pacheco D(2018)On the Cost of Measuring Traffic in a Virtualized Environment2018 IEEE 7th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet.2018.8549537(1-6)Online publication date: Oct-2018
https://doi.org/10.1109/CloudNet.2018.8549537
Moradi FFlinta CJohnsson AMeirosu C(2017)ConMon: An automated container based network performance monitoring system2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)10.23919/INM.2017.7987264(54-62)Online publication date: May-2017
https://doi.org/10.23919/INM.2017.7987264
Ghasemi MBenson TRexford J(2017)DapperProceedings of the Symposium on SDN Research10.1145/3050220.3050228(61-74)Online publication date: 3-Apr-2017
https://dl.acm.org/doi/10.1145/3050220.3050228
Flittner MBauer R(2017)TREX: Tenant-driven network traffic extraction for SDN-based cloud environments2017 Fourth International Conference on Software Defined Systems (SDS)10.1109/SDS.2017.7939140(48-53)Online publication date: May-2017
https://doi.org/10.1109/SDS.2017.7939140
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