An Efficient SDN load balancing scheme based on variance analysis for massive mobile users

Hdl Handle:
http://hdl.handle.net/10545/620873
Title:
An Efficient SDN load balancing scheme based on variance analysis for massive mobile users
Authors:
Zhong, Hong; Lin, Qunfeng; Cui, Jie; Shi, Runhua; Liu, Lu ( 0000-0003-1013-4507 )
Abstract:
In a traditional network, server load balancing is used to satisfy the demand for high data volumes. The technique requires large capital investment while offering poor scalability and flexibility, which difficultly supports highly dynamic workload demands from massive mobile users. To solve these problems, this paper analyses the principle of software-defined networking (SDN) and presents a new probabilistic method of load balancing based on variance analysis. The method can be used to dynamically manage traffic flows for supporting massive mobile users in SDN networks. The paper proposes a solution using the OpenFlow virtual switching technology instead of the traditional hardware switching technology. A SDN controller monitors data traffic of each port by means of variance analysis and provides a probability-based selection algorithm to redirect traffic dynamically with the OpenFlow technology. Compared with the existing load balancing methods which were designed to support traditional networks, this solution has lower cost, higher reliability, and greater scalability which satisfy the needs of mobile users.
Affiliation:
University of Derby
Citation:
Hong, Z. et al (2015) 'An Efficient SDN Load Balancing Scheme Based on Variance Analysis for Massive Mobile Users', Mobile Information Systems, Vol. 2015 (241732), 9 pages. DOI: 10.1155/2015/241732
Journal:
Mobile Information Systems
Issue Date:
2015
URI:
http://hdl.handle.net/10545/620873
DOI:
10.1155/2015/241732
Additional Links:
http://www.hindawi.com/journals/misy/2015/241732/
Type:
Article
Language:
en
Series/Report no.:
241732
ISSN:
1574-017X; 1875-905X
Sponsors:
The work was supported by the National Natural Science Foundation of China (no. 61173188, no. 61572001, and no. 61502008), the Research Fund for the Doctoral Program of Higher Education (no. 20133401110004), the Educational Commission of Anhui Province, China (no. KJ2013A017), the Natural Science Foundation of Anhui Province (no. 1508085QF132), the Tender Project of the Co-Innovation Center for Information Supply & Assurance Technology of Anhui University (no. ADXXBZ2014-7), and the Doctoral Research Startup Funds Project of Anhui University.
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
dc.contributor.authorZhong, Hongen
dc.contributor.authorLin, Qunfengen
dc.contributor.authorCui, Jieen
dc.contributor.authorShi, Runhuaen
dc.contributor.authorLiu, Luen
dc.date.accessioned2016-11-16T18:09:06Z-
dc.date.available2016-11-16T18:09:06Z-
dc.date.issued2015-
dc.identifier.citationHong, Z. et al (2015) 'An Efficient SDN Load Balancing Scheme Based on Variance Analysis for Massive Mobile Users', Mobile Information Systems, Vol. 2015 (241732), 9 pages. DOI: 10.1155/2015/241732en
dc.identifier.issn1574-017X-
dc.identifier.issn1875-905X-
dc.identifier.doi10.1155/2015/241732-
dc.identifier.urihttp://hdl.handle.net/10545/620873-
dc.description.abstractIn a traditional network, server load balancing is used to satisfy the demand for high data volumes. The technique requires large capital investment while offering poor scalability and flexibility, which difficultly supports highly dynamic workload demands from massive mobile users. To solve these problems, this paper analyses the principle of software-defined networking (SDN) and presents a new probabilistic method of load balancing based on variance analysis. The method can be used to dynamically manage traffic flows for supporting massive mobile users in SDN networks. The paper proposes a solution using the OpenFlow virtual switching technology instead of the traditional hardware switching technology. A SDN controller monitors data traffic of each port by means of variance analysis and provides a probability-based selection algorithm to redirect traffic dynamically with the OpenFlow technology. Compared with the existing load balancing methods which were designed to support traditional networks, this solution has lower cost, higher reliability, and greater scalability which satisfy the needs of mobile users.en
dc.description.sponsorshipThe work was supported by the National Natural Science Foundation of China (no. 61173188, no. 61572001, and no. 61502008), the Research Fund for the Doctoral Program of Higher Education (no. 20133401110004), the Educational Commission of Anhui Province, China (no. KJ2013A017), the Natural Science Foundation of Anhui Province (no. 1508085QF132), the Tender Project of the Co-Innovation Center for Information Supply & Assurance Technology of Anhui University (no. ADXXBZ2014-7), and the Doctoral Research Startup Funds Project of Anhui University.en
dc.language.isoenen
dc.relation.ispartofseries241732en
dc.relation.urlhttp://www.hindawi.com/journals/misy/2015/241732/en
dc.rightsArchived with thanks to Mobile Information Systemsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectSoftware-defined networking (SDN)en
dc.subjectLoad balancingen
dc.titleAn Efficient SDN load balancing scheme based on variance analysis for massive mobile usersen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalMobile Information Systemsen
dc.contributor.institutionSchool of Computer Science and Technology, Anhui University, Hefei 230039, China-
dc.contributor.institutionSchool of Computer Science and Technology, Anhui University, Hefei 230039, China-
dc.contributor.institutionSchool of Computer Science and Technology, Anhui University, Hefei 230039, China-
dc.contributor.institutionSchool of Computer Science and Technology, Anhui University, Hefei 230039, China-
dc.contributor.institutionDepartment of Computing and Mathematics, University of Derby, Kedleston Road, Derby DE22 1GB, UK-
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