光电混合数据中心网络采用传统的RED(Random Early Detection)流量调度机制容易造成数据流丢失,同时在等价转发路径的选择上存在随机性。提出一种基于流量预测矩阵的负载均衡流量调度机制。该机制利用软件定义网络,具有全局视角的优点,...光电混合数据中心网络采用传统的RED(Random Early Detection)流量调度机制容易造成数据流丢失,同时在等价转发路径的选择上存在随机性。提出一种基于流量预测矩阵的负载均衡流量调度机制。该机制利用软件定义网络,具有全局视角的优点,周期性统计网络流量,建立流量预测矩阵。通过流量预测矩阵动态计算数据流在多条等价链路上的转发概率,并按此概率完成下一个周期的转发。同时,利用电交换链路单独处理突发流量,提高网络吞吐量,实现网络负载均衡。在光电混合数据中心网络拓扑结构上建立合成流量模型进行仿真实验和性能分析。结果表明,与传统的RED流量调度机制相比,该机制能够提高网络吞吐量、降低数据流丢弃率。展开更多
Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently propo...Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently proposed. In this paper, we consider an information centric architecture, called the data centric networking architecture to provide communication servi- ces to big data, where a service identifier is used to name the data objects. We propose dif- ferent approaches for the dissemination of data objects in a large-scale data centric network. In particular, we propose various approaches to link the data dissemination approach with the topology of the Internet. Further, we eva- luate the proposed approaches with respect to data delivery efficiency, round-trip time imp- rovement, and deployment cost. Based on the results obtained from this study, it can be sh- own that by disseminating data objects to small ISPs, the data delivery efficiency can be significantly improved within an acceptable deployment cost.展开更多
文摘光电混合数据中心网络采用传统的RED(Random Early Detection)流量调度机制容易造成数据流丢失,同时在等价转发路径的选择上存在随机性。提出一种基于流量预测矩阵的负载均衡流量调度机制。该机制利用软件定义网络,具有全局视角的优点,周期性统计网络流量,建立流量预测矩阵。通过流量预测矩阵动态计算数据流在多条等价链路上的转发概率,并按此概率完成下一个周期的转发。同时,利用电交换链路单独处理突发流量,提高网络吞吐量,实现网络负载均衡。在光电混合数据中心网络拓扑结构上建立合成流量模型进行仿真实验和性能分析。结果表明,与传统的RED流量调度机制相比,该机制能够提高网络吞吐量、降低数据流丢弃率。
基金supported by the National Science and Technology Major Projects of the Ministry of Science and Technology of China under Grant No.2012ZX03005003the State Key Program of National Natural Science of China under Grant No.61232017+3 种基金the National Basic Research Program of China(973 Program)under Grant No.2013CB329101the National Natural Science Foundation of China under Grants No.61102049,No.61271202the Beijing Natural Science Foundation underGrants No.4132053,No.4122060the Scientific Research Foundation of the Returned Overseas Chinese Scholars of State Education Ministry under Grant No.W13C300010
文摘Massive information flows are gen- erated from interactive processing and visua- lizations. To efficiently support information transmission over the Interact, information cen- tric architecture has been recently proposed. In this paper, we consider an information centric architecture, called the data centric networking architecture to provide communication servi- ces to big data, where a service identifier is used to name the data objects. We propose dif- ferent approaches for the dissemination of data objects in a large-scale data centric network. In particular, we propose various approaches to link the data dissemination approach with the topology of the Internet. Further, we eva- luate the proposed approaches with respect to data delivery efficiency, round-trip time imp- rovement, and deployment cost. Based on the results obtained from this study, it can be sh- own that by disseminating data objects to small ISPs, the data delivery efficiency can be significantly improved within an acceptable deployment cost.
