TY - GEN
T1 - A flexible network management framework based on OpenFlow technology
AU - Lo, Chun Chih
AU - Chin, Hsuan Hsuan
AU - Horng, Mong Fong
AU - Kuo, Yau-Hwang
AU - Hsu, Jang Pong
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=84958528623&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958528623&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-07467-2_32
DO - 10.1007/978-3-319-07467-2_32
M3 - Conference contribution
AN - SCOPUS:84958528623
SN - 9783319074665
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 298
EP - 307
BT - Modern Advances in Applied Intelligence - 27th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014, Proceedings
PB - Springer Verlag
T2 - 27th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2014
Y2 - 3 June 2014 through 6 June 2014
ER -