Medical data processing method of cloud storage platform

Abstract

The invention provides a medical data processing method of cloud storage platform. The method comprises a step of determining a storage node through a storage load balance strategy before data writing and redistributing a copy storage node according to an access frequency or node storage capacity after data writing. The invention provides the medical data processing method of a cloud storage platform, a server cluster deployment mode is simplified, the direct operation of a server cluster by a user is avoided, and the rationality and data stability of a storage node are ensured.

Description

technical field [0001] The invention relates to cloud storage, in particular to a medical data processing method on a cloud storage platform. Background technique [0002] Cloud storage uses technologies such as cloud computing, distributed file systems, and server clusters to aggregate various storage resources in the network to jointly provide data storage and business access functions. It is widely used in medical research, production, and trade services. The current cloud storage is divided into public service storage, which provides storage services for enterprises or individuals; the other is private architecture cloud storage, which is based on storage server clusters and distributed file systems built within the enterprise, deployed in enterprise data centers or A secure node hosting place provides corresponding storage services for the enterprise itself. The medical cloud storage platform has high confidentiality, and the storage process does not require too many I...

AI Technical Summary

Problems solved by technology

However, as an open source distributed storage computing framework, Hadoop also has its own shortcomings

That is, the system architecture design is complex and operation and maintenance are difficult

The use of the cloud storage platform not only requires the accumulation of knowledge in many aspects, but also has a lot of skills to learn and master in its operation and maintenance, which limits the industry promotion and use of the medical cloud storage platform to a certain extent

In building a medical information cloud storage platform, there are two problems that affect deployment and system performance: the first is that nodes are prone to failure during operation

Once a node failure occurs and cannot be prepared to deal with it in a timely manner, it will affect the storage server cluster of multiple nodes. During the construction process, each node has many repeated operations, making the construction process very cumbersome and error-prone; the second is because The nodes are all ordinary personal computers, not dedicated servers such as minicomputers or mainframes, so data is seriously affected by CPU, memory, and disk I / O during use

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