Opanga Streamlines Traffic by Using Machine Learning in the Netwo

Seattle-based Opanga Networks says it has found a way to minimize wireless network congestion and improve traffic flow by using machine learning algorithms in the network core. The company's software is being used today in 3G and 4G networks to make them more efficient without requiring more spectrum Basically, Opanga's software platform is deployed in the packet core. The software, which can run over existing hardware or new COTS hardware, uses machine learning to identify what Opanga calls "elephant flows." These are large users of capacity. According to Opanga CEO Dave Gibbons, about 3 percent of data sessions on a wireless network generate about 60 percent of traffic.