A flexible network management framework based on OpenFlow technology

Chun Chih Lo, Hsuan Hsuan Chin, Mong Fong Horng, Yau-Hwang Kuo, Jang Pong Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we present a network management framework based on OpenFlow technology, to enhance flexibility in network management to conform more service requirements from diverse user identities. To this aim, user-level based QoS differentiation is introduced to provide fine-grained handling of network flows under different user and service constraints. With user identity and service requirement in place, we are able to provide dynamic bandwidth adjustment with the support of traffic statistics and even allocate and share unutilized network resources to satisfy user service requirement and improve resource utilization in networks. Furthermore, we also present a unified but simple network management interface to help network administrators to manage a network as a single entity. With this interface, the agents in switches are developed to detect and response to anomalies of flows. In summary, the proposed framework improves the original OpenFlow framework to provide a flexible and agile way to manage networks with dynamic resource allocation and to meet the diverse QoS requirements in future cloud services.

Original languageEnglish
Title of host publicationModern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings
PublisherSpringer Verlag
Pages298-307
Number of pages10
EditionPART 2
ISBN (Print)9783319074665
DOIs
Publication statusPublished - 2014 Jan 1
Event27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014 - Kaohsiung, Taiwan
Duration: 2014 Jun 32014 Jun 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8482 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014
CountryTaiwan
CityKaohsiung
Period14-06-0314-06-06

Fingerprint

Network Management
Network management
Quality of service
Requirements
Telecommunication traffic
Resource allocation
Interfaces (computer)
Switches
Statistics
Resources
Network Flow
Bandwidth
Resource Allocation
Anomaly
Switch
Adjustment
Flexibility
Framework
Traffic

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lo, C. C., Chin, H. H., Horng, M. F., Kuo, Y-H., & Hsu, J. P. (2014). A flexible network management framework based on OpenFlow technology. In Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings (PART 2 ed., pp. 298-307). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8482 LNAI, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-319-07467-2_32
Lo, Chun Chih ; Chin, Hsuan Hsuan ; Horng, Mong Fong ; Kuo, Yau-Hwang ; Hsu, Jang Pong. / A flexible network management framework based on OpenFlow technology. Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. PART 2. ed. Springer Verlag, 2014. pp. 298-307 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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Lo, CC, Chin, HH, Horng, MF, Kuo, Y-H & Hsu, JP 2014, A flexible network management framework based on OpenFlow technology. in Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8482 LNAI, Springer Verlag, pp. 298-307, 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Kaohsiung, Taiwan, 14-06-03. https://doi.org/10.1007/978-3-319-07467-2_32

A flexible network management framework based on OpenFlow technology. / Lo, Chun Chih; Chin, Hsuan Hsuan; Horng, Mong Fong; Kuo, Yau-Hwang; Hsu, Jang Pong.

Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. PART 2. ed. Springer Verlag, 2014. p. 298-307 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8482 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Lo, Chun Chih

AU - Chin, Hsuan Hsuan

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AB - In this paper, we present a network management framework based on OpenFlow technology, to enhance flexibility in network management to conform more service requirements from diverse user identities. To this aim, user-level based QoS differentiation is introduced to provide fine-grained handling of network flows under different user and service constraints. With user identity and service requirement in place, we are able to provide dynamic bandwidth adjustment with the support of traffic statistics and even allocate and share unutilized network resources to satisfy user service requirement and improve resource utilization in networks. Furthermore, we also present a unified but simple network management interface to help network administrators to manage a network as a single entity. With this interface, the agents in switches are developed to detect and response to anomalies of flows. In summary, the proposed framework improves the original OpenFlow framework to provide a flexible and agile way to manage networks with dynamic resource allocation and to meet the diverse QoS requirements in future cloud services.

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Lo CC, Chin HH, Horng MF, Kuo Y-H, Hsu JP. A flexible network management framework based on OpenFlow technology. In Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings. PART 2 ed. Springer Verlag. 2014. p. 298-307. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-319-07467-2_32