Equipment expansion method based on capacity prediction technology

Abstract

The invention discloses an equipment expansion method based on the capacity prediction technology. The method involves an equipment monitoring unit, a capacity prediction unit and an equipment expansion unit. According to usage amount increment prediction of each equipment node, node use sustainable times are evaluated automatically, the sustainable times of the nodes are ordered, an expansion strategy is conducted on the equipment with less sustainable time automatically according to a set expansion plan, overall operation of a resource center is guaranteed to the maximum degree, and single-node faults are avoided; the problem of equipment maintenance is solved fundamentally, and the problem of unpredictability of equipment maintenance of the resource center is thoroughly solved.

Description

technical field [0001] The invention relates to the field of computing application technology and cloud computing, in particular to a device capacity expansion method based on capacity prediction technology. Background technique [0002] The current resource center has a lot of equipment, and the usage is also increasing, so the utilization rate of the disk will become higher and higher. The maintenance work is heavy due to the large number of equipment, which often leads to more than enough energy. When the maintenance mechanism is used, there will be situations where the disk is full but cannot be maintained in time, which will affect the business running on the computer and cause losses to users. Therefore, in the process of computer maintenance, we will try our best to reduce the occurrence of such situations. In the computer maintenance process, how to reduce the occurrence of the above situation has become our concern. [0003] The current computer manufacturer’s sol...

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Problems solved by technology

[0003] The current solution of computer manufacturers, the general solution is to monitor the hard disk usage of the computer to maintain the disk with capacity warning. Although it can solve some of the problems mentioned above, it still does not solve the problem fundamentally and completely. The unpredictability of equipment maintenance in the resource center completely frees itself from heavy planning, so that everything has a plan to follow and everything is under control

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