BARCELONA, Spain, Feb. 26, 2013 /PRNewswire/ -- Mobile World Congress -- Gigamon®, a leader in traffic visibility solutions with the innovative Visibility Fabric™ architecture, announced the development of an advancement that transforms Big Data into manageable data for mobile carriers. This method is intended to facilitate a cost-effective solution for connecting single or multiple 40Gb and 100Gb pipes to 10Gb and 1Gb analytic tools. This technology under development will be able to take the network traffic flowing through the large pipes, and control the volume of data being forwarded to the tools. This breakthrough process will faithfully reproduce the data on a smaller scale, retaining its stateful condition with session awareness. Single tools can then effectively process throughput of what was originally 100Gb or 40Gb traffic flows. This concept and Gigamon's existing features to address Big Data are currently on show at Mobile World Congress 2013 in Barcelona, Spain. When commercially available, this new innovation will work in tandem with Gigamon's Flow Mapping® and GigaSMART® applications technologies. Flow Mapping enables advanced filtering of individual network traffic packets that are forwarded according to a set of user-defined rules that are optimized to provide customers with unique granularity and scalability. GigaSMART applications modify, manipulate, transform and transport packets, along with the information they carry, in order to enhance and improve the value of the network traffic before delivering it to the appropriate management, monitoring and security tools. "As data traffic from mobile devices and applications continues to grow rapidly, mobile carriers have searched for a way to efficiently, effectively, and economically monitor that traffic for performance and quality of service", said Dana Cooperson, VP & Practice Leader of Network Infrastructure Telecoms at Ovum. "As connections grow to 40G and 100G, the Big Data velocity and volume challenge is further intensified. Gigamon's approach tackles mobile carriers' Big Data challenges by intelligently breaking down the problem into smaller, more manageable chunks, while maintaining carrier control over QoE."