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Please use this identifier to cite or link to this item:
https://nccur.lib.nccu.edu.tw/handle/140.119/75789
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| Title: | A flexible network management framework based on OpenFlow technology |
| Authors: | Lo, C.-C.;Chin, H.-H.;Horng, M.-F.;Kuo, Yau-Hwang;Hsu, J.-P.
郭耀煌 |
| Contributors: | 資科系 |
| Keywords: | Intelligent systems;Quality of service;Traffic surveys;Dynamic resource allocations;Flexibility;In-network management;Network administrator;Network management frameworks;Openflow;Resource utilizations;Software-defined networkings;Network management |
| Date: | 2014-06 |
| Issue Date: | 2015-06-15 16:05:20 (UTC+8) |
| 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. © 2014 Springer International Publishing Switzerland. |
| Relation: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 8482 LNAI, Issue PART 2, 2014, Pages 298-307, 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014; Kaohsiung; Taiwan; 3 June 2014 到 6 June 2014; 代碼 107164 |
| Data Type: | conference |
| DOI 連結: | http://dx.doi.org/10.1007/978-3-319-07467-2-32 |
| DOI: | 10.1007/978-3-319-07467-2-32 |
| Appears in Collections: | [資訊科學系] 會議論文
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