Shulou(Shulou.com)06/02 Report--

With the digital transformation of enterprises, traditional manufacturing enterprises are gradually moving towards the stage of intelligent manufacturing through a series of information construction. In this process, enterprises are primarily faced with the problem of management and storage of information data. This paper mainly introduces how to solve the advantages of enterprise information and data management through Ceph distributed storage integrated machine and how to deal with big data's analysis in the future.

Deficiency of distributed Storage Scheme in Manufacturing Enterprises at present

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With the continuous strengthening of the information degree of manufacturing enterprises, there is a very strong correlation and a variety of sources among the daily text, image, video, backup data, log information and so on. these data are of great value to the production, operation, sales and after-sales service of products. Although some manufacturers have provided manufacturing enterprises with big data management platform and distributed storage solutions, which can temporarily meet the needs of the early information transformation of enterprises, however, the following difficulties are still faced with the complete intelligence and informationization in the future:

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How to control the increase of management cost of manufacturing enterprises caused by explosive growth of data

The realization of complete digital transformation means that more automation equipment and data management systems will be introduced, and there will be not only daily product data output on the manufacturing line, but also immeasurable front-end sensor data generation. Through the stack expansion of conventional storage devices, it is impossible to achieve efficient use of resources, but also affects the overall efficiency of data management.

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While improving the efficiency of operation and maintenance, avoid the emergence of "information isolated island"

Due to the particularity of the manufacturing industry, data management is very scattered, production workshops and technicians are often scattered in different areas, and their respective data are also stored independently, thus creating an "isolated island of information" and managing their own data. the lack of unified standards and specifications, the data is very messy. When the workshop and technical personnel need relevant data, they need to consult the manager of the data, resulting in frequent communication and reduced work efficiency.

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How to manage complex data architecture environment efficiently

When manufacturing enterprises have entered a period of rapid development, as an enterprise-level data resource processing and storage center, big data architecture needs to integrate different technology platforms, different data structures, different data access methods and so on. In the complex environment, how to ensure the stability of access, the efficiency of processing, the quality of compliance and so on, has posed a new challenge to data storage management.

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A dedicated manufacturing management platform is required to support the front-end business

At present, the big data management platforms provided by manufacturers are all general-purpose platforms, with great differences in technical architecture, construction and service levels, and the application effect in the field of intelligent manufacturing is not obvious.

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The existing distributed storage lacks adaptability to manufacturing data management and storage.

There are a large number of unstructured data in the manufacturing industry, and the semantic relevance of these data is very strong, but the existing distributed storage technology lacks the consideration of semantic relevance, and the size of unstructured data varies from tens of kilograms to dozens of M. the existing file management system has advantages in dealing with large files, and the storage efficiency is relatively low in front of a large number of small files.

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Ceph distributed Storage Integrated Machine Manufacturing solution Storage solution

Ceph distributed storage is the realization of software-defined storage solution. Hardware is abstractly managed by software, all CPU resources, memory resources, hard disk resources and network resources of the cluster are pooled into a unified resource pool, and then personalized distributed storage solutions are provided to customers through the special management interface of the manufacturing industry or API.

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The software-defined storage solution enables the production system to scale up (Scale-Up) or scale out (Scale-Out) while running online, and the storage system can achieve the effect of linear expansion of capacity and performance after expansion. It has the following characteristics:

Provide high-performance data management and flexible scalability

The distributed storage system provided by JITStack super converged all-in-one machine can integrate and optimize the computing resources, storage resources and network resources of all storage nodes, and assign tasks to multiple storage nodes. The use of concurrent data preprocessing can prevent the short board problems caused by a single hard disk or device and improve the processing efficiency of the whole cluster. Distributed storage system has excellent performance expansion ability, which can meet the rapidly increasing demand of manufacturing industry for storage data. Ceph distributed storage can add storage nodes online, which is completely transparent to the front-end business. There is a linear relationship between the overall performance of the system and the total number of storage nodes.

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Multi-replica strategy to improve high availability and security of distributed storage

Ceph distributed storage all-in-one machine designs a high availability strategy based on hardware and software, which can still provide normal services when dealing with various anomalies (such as storage node failure, network disconnection, hard disk unidentifiable, data damage, etc.). To enhance the ease of use of distributed storage system hardware can be guaranteed by increasing the total number of storage nodes or selecting a variety of hardware redundancy strategies. The distributed storage system adopts multi-copy strategy or deletion strategy to ensure the high availability of data. multi-copy strategy can ensure high data redundancy, but it will reduce the utilization rate of available space in the storage system. Erasure strategy can greatly improve the effective space utilization of the storage system while ensuring partial data redundancy. Through the reliable permission control and mutual trust confirmation strategy of the distributed storage all-in-one machine, as well as the use of private data slicing and data coding strategy, the cluster system can be protected from malicious access and security from multiple dimensions, and the stored data will not be disclosed.

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Provide high-performance edge computing application scenarios

High performance computing based on distributed storage all-in-one cluster has become a necessary tool. The cluster has high flexibility. By adding or deleting nodes in the cluster, the processing performance of the system can be improved and reduced midway without affecting the existing application and computing tasks. According to different computing modes and scales, the number of nodes that make up the cluster system can range from several to thousands. Those services put forward new requirements for back-end storage servers, including unified storage space, efficient document search, high-bandwidth IO performance, highly reliable sensitive data security and so on.

With the digital transformation of enterprises, traditional manufacturing enterprises are gradually moving towards the stage of intelligent manufacturing through a series of information construction. In this process, enterprises are primarily faced with the problem of management and storage of information data. This paper mainly introduces how to solve the advantages of enterprise information and data management through Ceph distributed storage integrated machine and how to deal with big data's analysis in the future.

Deficiency of distributed Storage Scheme in Manufacturing Enterprises at present

With the development of computer technology and big data, the manufacturing industry needs to consider the factors of storage function integration, data stability, data security, system scalability, performance and cost. Ceph distributed storage all-in-one machine has a lot of room for growth, so it is bound to be used in a wider range of manufacturing industry big data application fields.

* the picture comes from the Internet.

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