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SDN网络中基于业务资源偏好的批路由策略 被引量:1

Batch routing in SDN networks with resource preference consideration
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摘要 SDN网络中有限的交换机流表资源限制流经节点的业务流数目,带宽资源限制流经链路的业务流的数据流量.本研究基于业务流特点,提出业务资源偏好的概念;基于SDN网络集中控制的特点,提出使用批路由策略处理多个同时到达SDN控制器的业务流请求.设计了SDN网络中基于业务资源偏好的批路由策略BRP-SA.仿真结果表明,BRP-SA算法有效地均衡流表资源和带宽资源的使用,使网络接纳更多的业务流请求. In SDN networks,the limited flow tables at switches confine the number of flows which can pass through the Open Flow switches. The limited bandwidth resources confine the data traffic which can pass through the network links. A concept of resource preference is suggested based on traffic characteristics,and batch routing strategy is proposed to process multiple flow requests simultaneously. We first model and formulate the batch routing optimization problem,and then present a heuristic algorithm called BRP-SA to execute batch routing algorithm with resource preference consideration. Simulation results show that BRP-SA effectively balances the utilization of both flow table and bandwidth resources,and then the network accepts more flow requests.
出处 《中国科学院大学学报(中英文)》 CSCD 北大核心 2016年第4期554-561,共8页 Journal of University of Chinese Academy of Sciences
基金 国家自然科学基金面上基金(61390513 61170231)资助
关键词 软件定义网络 批路由 业务资源偏好 流表资源 SDN batch routing flow resource preference flow table resource
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  • 1McKeown N, Anderson T, Balakrishnan H, et al. OpenFlow: enabling innovation in campus networks[ J]. ACM SIGCOMM Computer Communication Review, 2008, 38 (2) : 69-74.
  • 2Curtis A R, Mogul J C, Tourrilhes J, et al. DevoFlow: scaling flow management for high-performance networks [ J ]. ACM SIGCOMM Computer Communication Review, 2011, 41 (4) : 254-265.
  • 3Huang D Y, Yocum K, Snoeren A C. High-fidelity switch models for software-defined network emulation [ C ] // Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking. ACM, 2013 : 43-48.
  • 4Moshref M, Yu M, Govindan R, et al. DREAM: dynamic resource allocation for software-defined measurement [ J ]. ACM SIGCOMM Computer Communication Review, 2015, 44 (4) : 419-430.
  • 5Cohen R, Lewin-Eytan L, Naor J S, et al. On the effect of forwarding table size on SDN network utilization [ C ] /J INFOCOM, 2014 Proceedings IEEE. IEEE, 2014:1 734- 1 742.
  • 6Luo S, Yu I4, Li L. Practical flow table aggregation in SDN [J]. Computer Networks, 2015, 92: 72-88.
  • 7Feng T, Bi J, Wang K. Joint allocation and scheduling of network resource for multiple control applications in SDN [ C ] f/ Network Operations and Management Symposium (NOMS), 2014 IEEE. IEEE, 2014: 1-7,.
  • 8Zhang J, Xi K, Luo M, et al. Load balancing for multiple traffic matrices using sdn hybrid routing [ C ] // High Performance Switching and Routing (HPSR), 2014 IEEE 15tb International Conference on. IEEE, 2014: 44-49.
  • 9Banerjee S, Kannan K. Tag-in-tag: Efficient flow table management in sdn switches [ C ] // Network and Service Management (CNSM), 2014 10th International Conference on. IEEE, 2014:109-117.
  • 10Trivisonno R, Vaishnavi I, Guerzoni R, et al. Virtual links mapping in future sdn-enabled networks [ C ] // Future Networks and Services (SDN4FNS), 2013 IEEE SDN for. IEEE, 2013: 1-5.

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