Mobixell EVO™ – Evolved Optimization
Redefined for a Video Rich Future
When the Video Storm Hits full force, Mobixell EVO Evolved Optimization will Help Mobile Operators Unlink Mobile Infrastructure Investment from Data Volume Growth.
Mobile data, fuelled by streaming video, is growing at an unprecedented rate around the world. While mobile operators can choose between constant incremental infrastructure investment and data optimization solutions to keep up with increasing volume, neither choice is future-driven. As the growth rate accelerates, so does infrastructure investment. This linked cycle could reach unsustainable levels for many mobile operators within the next few years.
Responding to operators who are seeking a way to decouple optimization hardware investment from soaring data volume growth, Mobixell has introduced a new way of approaching mobile data optimization. That’s Mobixell EVO™, an Evolved Optimization approach for mobile networks. This new approach focuses only on congestion rather than just arbitrarily reducing data volume.
Mobixell EVO goes further by predicting congestion just before it occurs and specifying virtualized, cloud-based caching and optimization. The new Mobixell EVO approach to optimization will significantly reduce resource investment and operators, for the first time, will be able to unlink infrastructure investment from overall data growth.
Each of the key elements of Evolved Optimization contributes to the sustainability of mobile operator business models:
Real-time Near-Congestion Prediction
Some networks already perform historical based predictive congestion analysis, where they process offline reports and attempt to predict future patterns of congestion. This approach is limited and inaccurate, mainly due to the transient and localized nature of congestion. This is why Mobixell EVO will proactively perform real-time near-congestion prediction on a stream-by-stream basis and then dynamically apply the most appropriate optimization techniques to avoid congestion before it affects the subscriber quality of experience.
Cloud-based Optimization and Caching
Mobile network operators are already investigating cloud computing and virtualization to support various services. By managing resources in a distributed model, processing power is used only when and where needed. In addition to being a natural path toward compliance with operators’ proposed business models, private cloud-based caching and optimization can help mobile operators maintain sustainable levels of infrastructure investment even as the need for optimization grows.
Flexible, open system architecture
True cost savings come from moving away from proprietary systems that lock in operators and reduce flexibility. While all-in-one solutions offer short term convenience, as data traffic levels climb, the scalability of open, cloud-based system architecture will become critical to sustainable growth.