BUILDING REMOTE ACCESS NETWORKS phần 8

ác từ khóa thời gian chờ tùy chọn thiết lập số lượng thời gian một máy chủ sẽ chờ đợi cho một máy chủ để trả lời trước khi thời gian ra ngoài. Từ khóa quan trọng tùy chọn thiết lập các phím mã hóa được sử dụng giữa các máy chủ truy cập và daemon TACACS +. | Optimizing Network Performance with Queuing and Compression Chapter 9 397 flows it will look for new flows within the queue rather than sacrificing a currently connected flow. To allow for irregular bursty traffic a scaling factor is applied to the common incoming flows. This value allows each active flow to reserve a number of packets in the output queue. The value is used for all currently active flows. When the scaling factor is exceeded the probability of packets being dropped from the flow is increased. Flow-based WRED provides a more fair method in determining which packets are tail-drops during periods of congestion. WRED automatically tracks flows to ensure that no single flow can monopolize resources. This is accomplished by actively monitoring traffic streams learning which flows are not slowing down packet transmission and fairly treating flows that do slow down packet transmission. Data Compression Overview Traffic optimization is a strategy that a network designer or operator seeks when trying to reduce the cost and prolong the link life of a WAN in particular improving link utilization and throughput. Many techniques are used to optimize traffic flow which include PQs as described earlier in this chapter filters and access lists. However more effective techniques are found in data compression. Data compression can significantly reduce frame size and therefore reduce data travel time between endpoints. Some compression methods reduce the packet header size while others reduce the payload. Moreover these methods ensure that reconstruction of the frames happens correctly at the receiving end. The types of traffic and the network link type and speed need to be considered when selecting the data compression method to be applied. For example data compression techniques used on voice and video differ from those applied to file transfers. In the following sections we will review these compression methods and explain the differences between them. The Data .

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