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Conference Paper: Spectral Graph Theory Based Topology Analysis for Reconfigurable Data Center Networks

TitleSpectral Graph Theory Based Topology Analysis for Reconfigurable Data Center Networks
Authors
Keywordsreconfigurable network
topology analysis
upper bound
spectral graph theory
Issue Date2019
PublisherIEEE, Computer Society. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1002549/all-proceedings
Citation
2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), Shenzhen, China, 11-13 December 2019, p. 230-233 How to Cite?
AbstractEmerging technological innovations introduce the possibility to reconfigure the data center topology at runtime. The development of reconfigurable architectures can adapt their topology to account for changing demands, e.g., using Flyways-like augmented links. However, there is no common notion established in this area of how to evaluate the topology, the underlying theoretical analysis is not yet well studied. In this paper, we present the upper bound of the network diameter using spectral graph theory, to the best of our knowledge, which is a first theoretical attempt on understanding the nature of the reconfigurable data center networks. We further prove the algebraic connectivity is insensitive to the weight changes. Finally, based the algebra-connectivity λ 2 , we give a comprehensive link-augmentation validity, which can be implemented in current DCNs potentially.
Persistent Identifierhttp://hdl.handle.net/10722/283294
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, DK-
dc.contributor.authorWang, XW-
dc.contributor.authorHuang, M-
dc.contributor.authorWang, CL-
dc.date.accessioned2020-06-22T02:54:39Z-
dc.date.available2020-06-22T02:54:39Z-
dc.date.issued2019-
dc.identifier.citation2019 15th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN), Shenzhen, China, 11-13 December 2019, p. 230-233-
dc.identifier.isbn9781728152134-
dc.identifier.urihttp://hdl.handle.net/10722/283294-
dc.description.abstractEmerging technological innovations introduce the possibility to reconfigure the data center topology at runtime. The development of reconfigurable architectures can adapt their topology to account for changing demands, e.g., using Flyways-like augmented links. However, there is no common notion established in this area of how to evaluate the topology, the underlying theoretical analysis is not yet well studied. In this paper, we present the upper bound of the network diameter using spectral graph theory, to the best of our knowledge, which is a first theoretical attempt on understanding the nature of the reconfigurable data center networks. We further prove the algebraic connectivity is insensitive to the weight changes. Finally, based the algebra-connectivity λ 2 , we give a comprehensive link-augmentation validity, which can be implemented in current DCNs potentially.-
dc.languageeng-
dc.publisherIEEE, Computer Society. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1002549/all-proceedings-
dc.relation.ispartofInternational Conference on Mobile Ad-Hoc and Sensor Networks (MSN) Proceedings-
dc.rightsInternational Conference on Mobile Ad-Hoc and Sensor Networks (MSN) Proceedings. Copyright © IEEE, Computer Society.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectreconfigurable network-
dc.subjecttopology analysis-
dc.subjectupper bound-
dc.subjectspectral graph theory-
dc.titleSpectral Graph Theory Based Topology Analysis for Reconfigurable Data Center Networks-
dc.typeConference_Paper-
dc.identifier.emailWang, CL: clwang@cs.hku.hk-
dc.identifier.authorityWang, CL=rp00183-
dc.identifier.doi10.1109/MSN48538.2019.00052-
dc.identifier.scopuseid_2-s2.0-85084305916-
dc.identifier.hkuros310356-
dc.identifier.spage230-
dc.identifier.epage233-
dc.identifier.isiWOS:000569762200037-
dc.publisher.placeUnited States-

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