This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two pe...This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.展开更多
软件定义网络(Software Defined Network,SDN)技术通过控制平面与数据平面解耦,为通信网络优化提供了新思路。分析SDN关键技术特征,探讨传统通信网络在性能、安全和标准化等方面面临的挑战。从架构、技术及安全3个层面提出优化策略,通...软件定义网络(Software Defined Network,SDN)技术通过控制平面与数据平面解耦,为通信网络优化提供了新思路。分析SDN关键技术特征,探讨传统通信网络在性能、安全和标准化等方面面临的挑战。从架构、技术及安全3个层面提出优化策略,通过设计扁平化网络架构提高资源利用效率,提出基于OpenFlow的高效转发机制和软件定义的多队列优先级调度算法,构建纵深信任域安全架构。实验结果表明,该优化方案在高负载条件下的端到端时延降低约59.5%,网络吞吐量提升约33.0%,分布式拒绝服务(Distributed Denial of Service,DDoS)攻击检测时延降低75.9%,显著提升了网络性能。展开更多
While Internet traffic is currently dominated by elastic data transfers, it is anticipated that streaming applications will rapidly develop and contribute a significant amount of traffic in the near future. Therefore,...While Internet traffic is currently dominated by elastic data transfers, it is anticipated that streaming applications will rapidly develop and contribute a significant amount of traffic in the near future. Therefore, it is essential to understand and capture the relation between streaming and elastic traffic behavior. In this paper, we focus on developing simple yet effective approximations to capture this relationship. We study, then, an analytical model to evaluate the end-to-end performance of elastic traffic under multi-queuing system. This model is based on the fluid flow approximation. We assume that network architecture gives the head of priority to real time traffic and shares the remaining capacity between the elastic ongoing flows according to a specific weight.展开更多
文摘This paper presents the derivation of an analytical model for a multi-queue nodes network router, which is referred to as the multi-queue nodes （mQN） model. In this model, expressions are derived to calculate two performance metrics, namely, the queue node and system utilization factors. In order to demonstrate the flexibility and effectiveness of the mQN model in analyzing the performance of an mQN network router, two scenarios are performed. These scenarios investigated the variation of queue nodes and system utilization factors against queue nodes dropping probability for various system sizes and packets arrival routing probabilities. The performed scenarios demonstrated that the mQN analytical model is more flexible and effective when compared with experimental tests and computer simulations in assessing the performance of an mQN network router.
文摘软件定义网络(Software Defined Network,SDN)技术通过控制平面与数据平面解耦,为通信网络优化提供了新思路。分析SDN关键技术特征,探讨传统通信网络在性能、安全和标准化等方面面临的挑战。从架构、技术及安全3个层面提出优化策略,通过设计扁平化网络架构提高资源利用效率,提出基于OpenFlow的高效转发机制和软件定义的多队列优先级调度算法,构建纵深信任域安全架构。实验结果表明,该优化方案在高负载条件下的端到端时延降低约59.5%,网络吞吐量提升约33.0%,分布式拒绝服务(Distributed Denial of Service,DDoS)攻击检测时延降低75.9%,显著提升了网络性能。
文摘While Internet traffic is currently dominated by elastic data transfers, it is anticipated that streaming applications will rapidly develop and contribute a significant amount of traffic in the near future. Therefore, it is essential to understand and capture the relation between streaming and elastic traffic behavior. In this paper, we focus on developing simple yet effective approximations to capture this relationship. We study, then, an analytical model to evaluate the end-to-end performance of elastic traffic under multi-queuing system. This model is based on the fluid flow approximation. We assume that network architecture gives the head of priority to real time traffic and shares the remaining capacity between the elastic ongoing flows according to a specific weight.
