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Lucy Switchgear

After installing Riverbed Steelhead appliances at its UK and Dubai offices, Lucy Switchgear experienced a 50% reduction in bandwidth utilization and 90% improvement in file transfer times.

View Case Study

Data Streamlining

Key Benefits:

•  UDP for Replication Solutions and IPv6
•  Optimizes all TCP traffic on the WAN
•  Eliminates 60-95 percent of WAN traffic
•  Implements QoS mechanisms that account for both latency and bandwidth
•  Helps support deployments across the enterprise

UDP Optimization

With the release of RiOS® 7.0, organizations now have the flexibility to optimize applications that run on both TCP/IP and UDP, including replication solutions such as Symantec® Veritas™ Volume Replicator, Aspera and Signiant®. These applications can consume substantial bandwidth, making connectionless, packet-by-packet optimization a necessity. In addition, as IPv6 is adopted, RiOS 7.0 ensures that organizations are able to seamlessly transition without compromising performance.

Eliminate Redundant WAN Traffic

Data Streamlining optimizes all WAN traffic, typically reducing bandwidth consumption by 60-95 percent. Data Streamlining works by reducing the transmission of redundant bytes and by optionally prioritizing data based on bandwidth and latency requirements. Data Streamlining works across the key applications that enterprises care about the most, 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 across different applications. For example, a file could be emailed from someone in headquarters to a colleague in a branch. Then it might be written back to a file share in the data center, backed up across the WAN using a completely different application, and entered into a data management system or SharePoint server. In any of these subsequent transactions, Data Streamlining is intelligent enough to avoid sending the data during subsequent transactions across the WAN.

Steelhead® appliances from Riverbed Technology transparently intercept and analyze all of your WAN traffic. TCP traffic is segmented, indexed, and stored as "segments" of data, and the "references" representing that data are stored on disks within Steelhead appliances on both sides of your WAN. Once the data has been indexed, it's compared to data already on the disk. Segments of data that have been seen before aren't transferred again across the WAN again; instead a reference is sent in their 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 as high as 100:1. At the same time, Data Streamlining can detect very small-grained changes because the average size of a segment stored on disk is approximately 100 bytes, or about the same as a sentence of text. Even block-based differential compression approaches come nowhere near the results that Riverbed delivers.

Quality of Service (QoS)

In addition to eliminating virtually all redundant WAN traffic, Riverbed® offers advanced quality-of-service (QoS) functionality. Riverbed QoS ensures sufficient bandwidth for key applications like VoIP, live video, and thin clients. Yet unlike other QoS implementations, the Riverbed Optimization System (RiOS®) allows you to tune your Steelhead appliances to allocate the minimum amount of bandwidth required by accounting for the impact of latency, rather than having to overcompensate by allocating more bandwidth per application then what is really needed. Also, by using the Hierarchical Fair Service Curve (HFSC) method for scheduling, the effect of latency is also taken into account for real-time traffic such as voice, video, and desktop virtualization protocols. Data streamlining is flexible enough to work with any existing QoS implementation as well.

Hierarchical QoS

With RiOS's Hierarchical QoS, customers can define different QoS rulesets per site as well as tier class configurations.

Download the RiOS Technical Overview to learn more.

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