Another commonly used technology in WAN Optimization is Compression.
What is Compression?
Compression is the reduction in size of data by converting it to a format that requires fewer bits. Most often compression is used to minimize storage space (on a hard drive, for example) or for reducing transmitted data over a network. By reducing the size of data transferred, more bandwidth is available and transmission times are reduced.
Why should I perform
In our last post we talked about caching technologies in general and then focused on object caching. Now we'll do a drill down into byte caching.
Where object caching falls short, byte caching takes over. Byte Caching caches TCP traffic
irrespective of application level protocol, port, or IP address, on both ends of the WAN link.
How byte caching works
Typically two WAN Optimization appliances are deployed, one on each end of a WAN link. Both
Caching and compression are two complimentary technologies that combine to minimize the amount of data that traverses the WAN, in a WAN Optimization solution. Working together, caching minimizes the transmission of duplicate data over the WAN while compression reduces the total amount of data to be transmitted.
Caching and compression are two of the five technologies that Blue Coat uses to deliver its application acceleration framework. In this blog post we'll discuss two approaches
WAN Optimization can be used to accelerate and optimize IBM Tivoli Storage Manager across Wide Area links, solving problems many storage management administrators face.
Today, organizations face an expanding set of data protection and retention challenges. IBM Tivoli Storage Manager is a popular solution for centralized, automated data protection that reduces complexity, manages costs and aides compliance. To accomplish these goals, IBM Tivoli Storage Manager must replicate large
Wide Area Networks (WANs) have a notoriously bad reputation for throughput, uptime, and reliability. High latency in WAN links break applications and an over-consumption of bandwidth creates bottlenecks. For a variety of reasons, performance of applications over the enterprise WAN is poor and getting worse. Sometimes, the problem is created by server consolidation; servers and users moving further apart, introducing latency and ever-greater bandwidth demands. Other times, it's a new application