In data centers, the transmission control protocol(TCP) incast causes catastrophic goodput degradation to applications with a many-to-one traffic pattern. In this paper, we intend to tame incast at the receiver-side a...In data centers, the transmission control protocol(TCP) incast causes catastrophic goodput degradation to applications with a many-to-one traffic pattern. In this paper, we intend to tame incast at the receiver-side application. Towards this goal, we first develop an analytical model that formulates the incast probability as a function of connection variables and network environment settings. We combine the model with the optimization theory and derive some insights into minimizing the incast probability through tuning connection variables related to applications. Then,enlightened by the analytical results, we propose an adaptive application-layer solution to the TCP incast.The solution equally allocates advertised windows to concurrent connections, and dynamically adapts the number of concurrent connections to the varying conditions. Simulation results show that our solution consistently eludes incast and achieves high goodput in various scenarios including the ones with multiple bottleneck links and background TCP traffic.展开更多
探讨软件定义网络(Software Defined Network,SDN)在数据中心传输中的自适应流量管理。SDN架构的关键组成要素包括控制器、应用层和南向接口,通过控制平面和数据平面的分离,实现了网络的灵活性和可编程性。OpenFlow协议作为关键通信协议...探讨软件定义网络(Software Defined Network,SDN)在数据中心传输中的自适应流量管理。SDN架构的关键组成要素包括控制器、应用层和南向接口,通过控制平面和数据平面的分离,实现了网络的灵活性和可编程性。OpenFlow协议作为关键通信协议在SDN中得到广泛应用,为控制器提供了调整数据平面行为的标准化手段。在自适应流量管理方面,控制器通过实时监测和智能调整网络状态,识别瓶颈和拥塞点,并根据不同应用的性能需求进行精确的流量管理决策。基于流和基于应用的自适应管理算法使网络能够灵活适应不同流量负载,提高资源利用效率。流量监测工具如NetFlow和sFlow以及反馈机制在实现自适应流量管理中发挥关键作用,实时感知和调整网络状态,使SDN网络更加智能、适应性更强,并提供了优越的应用体验。未来的研究方向将关注SDN中自适应流量管理的创新策略,推动网络技术不断进步。展开更多
基金supported by the Fundamental Research Fundsfor the Central Universities under Grant No.ZYGX2015J009the Sichuan Province Scientific and Technological Support Project under Grants No.2014GZ0017 and No.2016GZ0093
文摘In data centers, the transmission control protocol(TCP) incast causes catastrophic goodput degradation to applications with a many-to-one traffic pattern. In this paper, we intend to tame incast at the receiver-side application. Towards this goal, we first develop an analytical model that formulates the incast probability as a function of connection variables and network environment settings. We combine the model with the optimization theory and derive some insights into minimizing the incast probability through tuning connection variables related to applications. Then,enlightened by the analytical results, we propose an adaptive application-layer solution to the TCP incast.The solution equally allocates advertised windows to concurrent connections, and dynamically adapts the number of concurrent connections to the varying conditions. Simulation results show that our solution consistently eludes incast and achieves high goodput in various scenarios including the ones with multiple bottleneck links and background TCP traffic.
文摘探讨软件定义网络(Software Defined Network,SDN)在数据中心传输中的自适应流量管理。SDN架构的关键组成要素包括控制器、应用层和南向接口,通过控制平面和数据平面的分离,实现了网络的灵活性和可编程性。OpenFlow协议作为关键通信协议在SDN中得到广泛应用,为控制器提供了调整数据平面行为的标准化手段。在自适应流量管理方面,控制器通过实时监测和智能调整网络状态,识别瓶颈和拥塞点,并根据不同应用的性能需求进行精确的流量管理决策。基于流和基于应用的自适应管理算法使网络能够灵活适应不同流量负载,提高资源利用效率。流量监测工具如NetFlow和sFlow以及反馈机制在实现自适应流量管理中发挥关键作用,实时感知和调整网络状态,使SDN网络更加智能、适应性更强,并提供了优越的应用体验。未来的研究方向将关注SDN中自适应流量管理的创新策略,推动网络技术不断进步。
