Presentation 2015-01-16
A Self-Adaptive Approach for Fine-grained Network Operation and Management in Software Defined Networks
Kotaro SHIBATA, Hiroki NAKAYAMA, Tsunemasa HAYASHI, Shingo ATA,
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Abstract(in English) Software Defined Network (SDN) is attracting many researchers in networking area, especially in the field of network operations and management. A fine-grained network management which controls traffic dynamically by the unit of flows is one of the key challengings towards a resilient network for the Future Internet. In this paper, we propose a self-adaptive approach to manage both network and functional (i.e., server) resources in SDN. To achieve the quick adaptation to various pattern of traffic, we first establish a Plan-DoCheck-Act (PDCA) cycle for our network management architecture. Then we describe a detailed procedure including interactions from networking components. We also show some use cases and give a proof-of-concept deployment.
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Keyword(in English) SDN / NFV / Network Management / Network Control / Optimization / Security
Paper # ICM2014-45,LOIS2014-52
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Conference Date 2015/1/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Self-Adaptive Approach for Fine-grained Network Operation and Management in Software Defined Networks
Sub Title (in English)
Keyword(1) SDN
Keyword(2) NFV
Keyword(3) Network Management
Keyword(4) Network Control
Keyword(5) Optimization
Keyword(6) Security
1st Author's Name Kotaro SHIBATA
1st Author's Affiliation Graduate School of Engineering, Osaka City University()
2nd Author's Name Hiroki NAKAYAMA
2nd Author's Affiliation BOSCO Technologies Inc.
3rd Author's Name Tsunemasa HAYASHI
3rd Author's Affiliation BOSCO Technologies Inc.
4th Author's Name Shingo ATA
4th Author's Affiliation Graduate School of Engineering, Osaka City University
Date 2015-01-16
Paper # ICM2014-45,LOIS2014-52
Volume (vol) vol.114
Number (no) 390
Page pp.pp.-
#Pages 6
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