Edge network model based on double dimension

A great many new technologies has emerged in the big data era, and more “big” applications are coming out progressively. Traditional computing models has touched its bottleneck, while the cloud-computing paradigm is one of the solution to resolve the capacity of the bottleneck under big data. Could-computing primarily applies to the off-line batch processing applications. However, it is a bit of overload for small real-time applications. Fortunately, with the fast development of container technology, real-time applications are no longer independent to any further extent. In edge network, the computing model consisting of the devices close to the data source is known as the edge device. The edge network device has a certain storage and computing power. The leading purpose of this device is not only to carry out some preliminary processing and data analysis but also to handle real-time applications in the cloud. We design a novel technique, which aim to combine container technology and micro services application models. Finally, we set up the edge network architecture of load balancing, which use the scheduling strategy based on double degree of domain and significantly improve the ability of real-time processing.