Hyper-converged architecture to solve medical data center management problems

Like many Internet+ companies, the information systems in medical institutions are also facing the problems of high cost of network equipment, low utilization rate, high security risks, and transmission bottlenecks. These problems have also plagued information workers for a long time. Can not be effectively resolved. However, along with the emergence of new technologies, the above-mentioned old problems are solved for informationization, and the possibility of development to a higher level is provided. Faced with the problems of complex maintenance, high risk, and long implementation debugging cycle in the operation and maintenance of the hospital data center, Zhou Zhiyu, director of the Information Center of Nanjing Stomatological Hospital, shared the experience of achieving hospital management and overall efficiency improvement with hyper-converged infrastructure.

Hyper-converged architecture to solve medical data center management problems

Zhou Zhiyu, Director of Nanjing Stomatological Hospital Information Center

Traditional architecture has been unable to do anything

Zhou Zhiyu introduced several stages of development of the traditional architecture with his own hospital as an example:

First, stand-alone stage. The architecture is simple, the cost advantage is obvious, and the deployment and maintenance are simple. However, due to the lack of necessary backups of the equipment, the maintenance process will cause system service interruption, which will have a very large impact on the daily business development of the hospital.

Second, dual-system hot backup phase. Double-click hot backup. Compared with the stand-alone architecture, adding a standby server can minimize the impact of maintenance, but at the same time, the utilization of the server is low, resulting in waste of equipment resources.

Third, the regional storage network SAN phase. Based on storage sharing, all important devices are connected through the network. Although the storage devices can be effectively utilized, the problem of low utilization is still present due to hot backup of the main devices. The more direct result is the increased complexity of the network. And because of the introduction of fiber switches, the maintenance risk increases.

Fourth, a relatively large-scale SAN. At this stage, the implementation, management, maintenance, and upgrade work has become extremely complicated and difficult to carry out.

Fifth, the fusion architecture. The supplier provides product services in the form of software and hardware integration, which makes the maintenance of the system less difficult, the stability is increased, the debugging is simple, and the implementation is very effective. However, due to the high level of integration, equipment costs are too high.

Under the traditional architecture, it can only lead to more and more hardware devices, more and more complex systems, more and more difficult maintenance, and continuous procurement of hardware, cost pressure will make hospital leaders difficult to parry. After the introduction of virtual technology, although the problem of computing level is solved, the storage layer still cannot be solved. The three-tier architecture still has the defects of performance and reliability. Unified storage and storage gateway is not a good solution, Zhou Zhiyu also said.

Three application examples of hyper-converged architecture

For hyper-convergence, Zhou Zhiyu made the following definition: "In the premise of virtualized environment, storage and computing nodes are relatively organically integrated in one hardware device." Simply put, "the hyper-converged infrastructure is computing and storage, from multiple physical devices to a physical device, like a storage computer, this time requires software, software-defined storage."

Hyper-converged architecture has great advantages in space occupation, scalability, data throughput, management and disaster recovery, but it also has obvious shortcomings. It is difficult to improve single-point vertical performance, and it is difficult to expand in such a small space. More CPU.

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