Silver Peak

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Quality of Service
Silver Peak provides a variety of Quality of Service (QoS) options to enterprises. In addition to honoring existing QoS markings, the Silver Peak solution provides native support for advanced QoS, including sophisticated classification logic, a variety of packet marking techniques, queuing, and traffic shaping.

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Using FEC to Mitigate Packet Loss
Forward error correction has long been widely deployed at the physical-link layer in conjunction with advanced line-coding schemes. These techniques check and correct bit errors on WAN links to ensure that upper-layer protocols receive error-free datagrams. But even when a network's physical link is free from bit errors, packets may still get dropped in transit on WAN links because of queue overflows in oversubscribed networks.
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Latency & Loss Mitigation
The Silver Peak solution uses a variety of acceleration techniques to overcome the effects of WAN latency and packet loss. These include: TCP Acceleration, CIFS Acceleration, Adaptive Forward Error Correction (FEC)
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Network Memory
All Silver Peak NX Series appliances are equipped with Network Memory™ technology. Network Memory is used to inspect all inbound and outbound WAN traffic in real-time, storing a single local instance of data on each appliance.
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Global Management Systems (GMS)
GMS provides IT managers with all of the tools necessary to centrally configure, monitor, and manage a Silver Peak-enabled Wide Area Network (WAN).  It comes as a standalone network appliance with an integrated SQL database, ensuring easy setup and maintenance in any enterprise environment.
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NX Comparison

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Using Network Memory™ to Stop Server Sprawl and Improve Application Delivery
Over the past decade, enterprise networks have evolved signifi cantly. Whereas once they simply routed packets based on destination address, today they can also make intelligent decisions based on load, traffi c patterns, applications, and even specifi c information acquired through packet inspection.

There is no doubt that application awareness has helped to increase the “intelligence” of enterprise networks. The tradeoff, however, comes in the form of increased complexity. This has created a point of diminishing returns, whereupon adding more application awareness to a network can actually hinder effi ciency, scale, and performance. (It can be argued that the primary reason that the Internet has been able to scale so successfully is because the network has remained completely independent from the applications that traverse it.)

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