PAAs into perceptual data hosting and application service platform

With the continuous deepening of the internet of things and the application of large data, the value of perceived data acquired by all kinds of devices is more and more valued. The integrated utilization of the perceptual data which embodies the real time operation of the physical world can fully excavate the value of the data and play a great help in solving some hot issues such as traffic jam, environmental pollution and road network layout.

A team of Li, Dinwilong and Zhaozhou, from the Cloud Computing Research Center at the Northern Polytechnical University, took advantage of Microsoft's Windows Server 2012 Technology advantage in infrastructure virtualization and a sophisticated package of solutions to build a platform for hosting and applications of perceived data to enable tenants to quickly and It is easy to develop and deploy applications, realize the purpose of integration, calculation and storage of traffic-aware data, and reduce the construction cost of perceptual data-related applications, and meet the needs of data/application hosting and operation and maintenance.

Breaking the information island of intelligent traffic

Zhaozhou, deputy director of the Cloud Computing Research Center of the Northern University of Technology, walks cloud team to build the platform of the perceptual data hosting and application service, it is hoped to solve the contradiction between the demand of the Internet application and the common infrastructure of the application, and realize the deep integration utilization of the data.

These contradictions in the traffic field is particularly prominent. Traffic perception data has the characteristics of mass, high concurrency, continuous and high speed. According to the previous practice, if the data volume increased or application increased, the pipeline department will be the infrastructure of vertical expansion, the purchase of equipment such as servers. This is not only expensive, but the increase in the size of the server after a certain number of vertical expansion is becoming more difficult. From the actual point of view, the amount of data increased very quickly.

Taking the construction of urban travel vehicle control system based on license plate recognition as an example, it is possible to access only dozens of camera with license plate recognition function during the initial stage of the project verification. After the feasibility verification, the number of access cameras could be increased to 1000, which eventually connected to a large city with nearly million cameras. The camera's data, accompanied by vehicle photos, will converge to the system for analysis. Thousands of cameras, the system may accumulate more than 30 million per day, nearly 10TB vehicle identification data. As the volume of data increases dramatically, the infrastructure capabilities of storage and computing become bottlenecks in the construction of application systems. In the traditional system architecture scenario, some infrastructure utilization may not be high. This is because the current camera distributed on the road is usually used to serve different systems, different applications, the peak of the application load is not the same. Moreover, these different application may form the information island, cannot realize the basic traffic data Cross application, the cross department sharing.

If the infrastructure that serves different applications is able to integrate resources through virtualization technology, sharing, in the form of multi-tenant to support the intensive storage, shared management, and the unified deployment and hosting of the related applications in different business areas, can not only achieve the expansion of infrastructure, the optimal allocation of IT resources, It can reduce the operation cost of IT system, realize the sharing of basic perceptual data, reduce the cost of deep exploitation and utilization of the perceived data, and realize the transformation of data value to business value and social benefit.

It is in this context that the roaming cloud builds a platform for perceived data hosting and application services based on Microsoft Windows Server 2012.

(Responsible editor: Fumingli)