Riverbed Data Streamlining

Data Streamlining

Eliminate Redundant WAN Traffic

Data Streamlining typically reduces bandwidth consumption by 60% to 95% by optimizing all WAN traffic. Data Streamlining works by decreasing the transmission of un-used bytes and by optionally prioritizing data based on bandwidth and latency needs. Data Streamlining works across the key applications that enterprises feel are most important, like Windows and UNIX file sharing (including MS Office), Email (including MS Exchange and Lotus Notes), CAD/PDM applications, ERP, databases, and performing data reduction on all applications that rely on TCP.

No matter what application generates the data, Data Streamlining removes most redundancy from WAN traffic running over TCP. It even works on various different applications. For example, a file could be emailed from someone in headquarters to a colleague in a branch. Then its written back to a file share in the data center, backed up across the WAN using a completely different application, and put into a data management system or SharePoint server. In any of these subsequent transactions, Data Streamlining is intelligent enough to not send the data during subsequent transactions across the WAN.

Steelhead appliances seamlessly intercept and analyze all WAN traffic. TCP traffic is segmented, indexed, and stored as "segments" of data, and the "references" representing that data is stored on disks within Steelhead appliances on both sides of your WAN. Once the data has been indexed, it is compared to data already on the disk. Segments of data that have been passed through on previous occasions are not transferred again across the WAN; instead a reference is sent in its place that can index arbitrarily large amounts of data, thereby massively reducing the amount of data that needs to be transmitted. One small reference can refer to megabytes of existing data that has been transferred over the WAN before.

Data Streamlining is highly scalable, with peak data reduction ratios that can be as high as a 100:1, and sometimes even higher. Also, Data Streamlining can identify very small-grained changes because the average size of a segment stored on disk is approximately 100 bytes. Even block-based differential compression solutions come nowhere near the results that Riverbed delivers.

Quality of Service (QoS )

As well as getting rid of virtually all redundant WAN traffic, Riverbed delivers enhanced quality-of-service (QoS) functionality. Riverbeds' QoS make sure of sufficient bandwidth for key applications like VoIP, live video, and thin clients. Unlike other QoS implementations, RiOS allows you to tune your Steelhead appliances to allocate the minimum amount of bandwidth needed by accounting for the impact of latency, rather than having to overcompensate by allocating more bandwidth per application then what is really required. Data Streamlining is durable enough to work with any existing QoS implementation as well.

Hierarchical QoS

With RiOS 5.0, Riverbed now delivers Hierarchical QoS. With Hierarchical QoS, customers can identify different QoS rulesets per site as well as tier class configurations. This QoS method also assists the support deployments with diverse link speeds between locations and the overall manageability has been improved so that policies by site or application can be retrieved easily throughout the organization.

Main Advantages:

• Optimizes all WAN traffic, both TCP and UDP
• Eliminates 60% to 95% of WAN Traffic
• Implements QoS mechanisms that account for both latency and bandwidth
• Helps support deployments and the overall across the enterprise

Datasheets:

• RiOS Technical Overview

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