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AUTONOMOUSLY ADAPTIVE FLOW ACCELERATION BASED ON LOAD FEEDBACK

机译:基于负载反馈的自适应流加速度

摘要

Embodiments are directed towards improving the performance of network traffic management devices by optimizing the management of hot connection flows. A packet traffic management device (“PTMD”) employs a data flow segment (“DFS”) and control segment (“CS”). The CS performs high-level control functions and per-flow policy enforcement for connection flows maintained at the DFS, while the DFS performs statistics gathering, and per-packet policy enforcement, on connection flows maintained at the DFS. The DFS may include high-speed flow caches and other high-speed components. Making efficient use of the high speed flow cache capacity may be improved by maximizing the number of hot connection flows based on unique service and network traffic characteristics through adaptive feedback pattern learning together with administrator configurable service preferences that may have flow control data for most bandwidth hungry and desired hot services offloaded to the high-speed flow cache, at appropriate time.
机译:实施例旨在通过优化热连接流的管理来改善网络流量管理设备的性能。分组流量管理设备(“ PTMD”)采用数据流段(“ DFS”)和控制段(“ CS”)。 CS对DFS维护的连接流执行高级控制功能和按流策略实施,而DFS对DFS维护的连接流执行统计信息收集和按数据包策略实施。 DFS可以包括高速流缓存和其他高速组件。通过自适应反馈模式学习以及管理员可配置的服务首选项(可能具有用于大多数带宽需求的流量控制数据),基于独特的服务和网络流量特性,最大化热连接流的数量,可以提高高速连接高速缓存容量的使用效率并在适当的时间将所需的热门服务卸载到高速流缓存中。

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