Resource deployment system and method based on cloud cost
A technology for deploying systems and deployment solutions, applied in resource allocation, software deployment, multi-programming devices, etc., can solve problems such as manual configuration error-prone, difficult maintenance, low work efficiency, etc., to reduce IT manual operation and maintenance costs, Improve stability and maintainability, improve transmission efficiency and stability
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Embodiment 1
[0032] Embodiment 1 of the present invention provides a cloud-based resource deployment system, such as figure 1 As shown, it includes resource lifecycle management module, resource automatic operation and maintenance module, and dynamic deployment strategy module. The dynamic deployment strategy module automatically analyzes and combines the resource deployment plan according to the requirements input by external applications, and then implements deployment through the resource lifecycle management module. The life cycle management module is connected to the APIs of various public clouds, and provides a standardized and unified interface internally. According to the resource deployment scheme provided by the dynamic deployment strategy module, resource creation, status synchronization, and deletion operations are realized in the way of resource arrangement, and resource automatic operation and maintenance The module modifies resources in real time through public cloud API and ...
Embodiment 2
[0045] Embodiment 2 of the present invention provides a cost-based resource deployment method on the cloud, and the method is applied in the above-mentioned cloud computing-based self-adaptive storage tiering system, such as Figure 4 shown, including the following steps:
[0046] Step 1: The dynamic deployment policy module receives application cluster applications from external applications;
[0047] During specific implementation, the external application provides the required CPU and memory requirements of the public cloud virtual machine cluster, and formulates the computing type, including computing-intensive, IO-intensive, and data-intensive.
[0048] Step 2: The dynamic deployment strategy module automatically analyzes and combines the resource deployment plan according to the requirements of step 1;
[0049] During specific implementation, the dynamic deployment strategy module combines the input requirements with the model list information provided by the public clo...
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