| Item type |
学術雑誌論文 / Journal Article.(1) |
| 公開日 |
2019-07-31 |
| 書誌情報 |
en : IEEE Transactions on Network and Service Management
巻 15,
号 1,
p. 27-38,
発行日 2018-01-26
|
| タイトル |
|
|
タイトル |
Big Data Analysis-Based Secure Cluster Management for Optimized Control Plane in Software-Defined Networks |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Software-defined networks |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
big data |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
swarm computing |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
security |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
cluster management |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 著者 |
WU, Jun
董, 冕雄
太田, 香
LI, Jianhua
GUAN, Zhitao
|
| 室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
董 冕雄（DONG Mianxiong） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000145_ja.html |
| 室蘭工業大学研究者データベースへのリンク |
|
|
表示名 |
太田 香（OTA Kaoru） |
|
URL |
http://rdsoran.muroran-it.ac.jp/html/100000140_ja.html |
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
In software-defined networks (SDNs), the abstracted control plane is its symbolic characteristic, whose core component is the software-based controller. The control plane is logically centralized, but the controllers can be physically distributed and composed of multiple nodes. To meet the service management requirements of large-scale network scenarios, the control plane is usually implemented in the form of distributed controller clusters. Cluster management technology monitors all types of events and must maintain a consistent global network status, which usually leads to big data in SDNs. Simultaneously, the cluster security is an open issue because of the programmable and dynamic features of SDNs. To address the above challenges, this paper proposes a big data analysis-based secure cluster management architecture for the optimized control plane. A security authentication scheme is proposed for cluster management. Moreover, we propose an ant colony optimization approach that enables big data analysis scheme and the implementation system that optimizes the control plane. Simulations and comparisons show the feasibility and efficiency of the proposed scheme. The proposed scheme is significant in improving the security and efficiency SDN control plane. |
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言語 |
en |
| 出版者 |
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出版者 |
IEEE |
|
言語 |
en |
| 出版者版へのリンク |
|
|
表示名 |
10.1109/TNSM.2018.2799000 |
|
URL |
https://doi.org/10.1109/TNSM.2018.2799000 |
| DOI |
|
|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
10.1109/TNSM.2018.2799000 |
| 日本十進分類法 |
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主題Scheme |
NDC |
|
主題 |
007 |
| ISSN |
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|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
1932-4537 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
© 2018 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. |
| 著者版フラグ |
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出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
IEEETNSM_15_1_27_38 (850.1 kB)
