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Patent-pending stream-based differencing enables continuous identification and analysis of larger streams of data in sequential order. Stream-based differencing facilitates the compression, organization and differencing of all data types as part of an overall data reduction and optimization process.

WAN Series’ unique single instance store provides a scalable resource to implement data differencing such that unchanged data is not sent over the network twice. In addition, the store scales linearly with available memory and enables predictive preloading based on usage patterns.

Application blueprints optimize protocols so they operate efficiently across wide area networks. Using techniques such as local acknowledgement of requests, request pipelining, pre-fetching data and request bundling, blueprints significantly improve application performance. In addition, blueprints provide the application intelligence required for content-aware de-duplication.

Strips off TCP/IP and protocol encapsulation to create a clean history that results in better data reduction, faster data transfers and superior matching for content transferred using different protocols.

Compresses the first pass of data, and then uses application blueprints to perform content-aware de-duplication and prevent long-term performance degradation. For business-critical applications, traffic shaping may be used to assign guaranteed bandwidth to particular hosts, networks, ports or applications.