Educational solutions | Venta technology Limited

Smart campus

Traditionally, the information construction of the school mostly adopts the chimney structure, and each information system is built independently, which can not form data sharing, and the business is not linked, which brings problems to management, service and teaching. With the application of Internet of things, cloud computing, AI, big data and other technologies in the intelligent construction of educational institutions, the teaching, management and service modes have been further optimized. The intelligent campus solution of Higher Vocational Education launched by data provides a unified storage platform for campus life, teaching and scientific research, safe campus and school affairs management, avoids the repeated construction of information system, deeply integrates with cloud, AI application and Internet of things in application, and comprehensively constructs an intelligent data management and service platform.

Customer demand

Repeated construction of resources and low comprehensive utilization rate

Various information systems often purchase it hardware infrastructure and build proprietary storage resources. Different businesses often need to build similar infrastructure, with high repeated construction cost and uneven utilization of hardware resources.

There are isolated islands of information and it is difficult to improve management

For traditional storage arrays, the namespace between devices cannot be unified, and the island phenomenon is serious, which cannot be controlled centrally; Cross department data is difficult to share, and teaching resources fail to give full play to their maximum value.

Unstructured data is proliferating, and capacity and performance requirements are growing

The teaching system, scientific research system, learning and engineering system and network disk application in Colleges and universities produce a large amount of unstructured data, and the new applications are increasingly abundant. The amount of data and files supported by traditional storage soon reach the peak value of the equipment. Since then, the access delay increases rapidly, and the equipment has poor scalability and high maintenance cost, which can not meet the needs of large capacity, low cost and simple management at the same time.

Scheme introduction

Based on MOS massive object storage system, this scheme constructs an unstructured data resource pool to store massive unstructured data such as network disk data, teaching video, scientific research data, monitoring video pictures, etc., so as to facilitate the sharing of data resources among different colleges, departments and administrative departments; The automatic life cycle management function realizes the automatic flow of data and optimizes the management of operation and maintenance costs.

Customer value

Integrate infrastructure, simplify management and avoid repeated construction

Plan the overall construction scheme from the perspective of the university level, coordinate the resource requirements of each business system and department, avoid repeated construction, reasonably allocate it resources to each department and business system through a unified management platform, and further simplify the management, operation and maintenance.
Eliminate data islands and strengthen resource sharing

Massive data of various campus applications can be integrated and shared, information islands can be eliminated, and a single namespace can realize efficient retrieval and necessary isolation across systems and departments, making it more convenient to share data. According to the use frequency and application value, data can flow freely between media with different performance and price, taking into account the requirements of capacity, performance and cost
Large capacity, flexible and efficient support for business

It provides a standard S3 access interface, which can greatly improve the access performance compared with the traditional multi directory tree hierarchy, support tens of millions of concurrent access and 10 billion files, and the total data scale reaches EB level

Integrate infrastructure, simplify management and avoid repeated construction

Eliminate data islands and strengthen resource sharing

Large capacity, flexible and efficient support for business