A cloud computing resource allocation method supporting emergencies

Abstract

The cloud computing resource allocation method supporting emergencies of the present invention includes: a). Obtaining user resource application information including user priority, resource demand urgency, resource application quantity and configuration; b). Calculating user resources Assign priority; c). Obtain the resource information of the available physical server; d). Calculate the resource utilization rate of the physical server; e). Establish a virtual machine with the best performance matching, the shortest provisioning time of the virtual machine, and the smallest change in the overall load of the platform Objective function and constraints; f). Establish a mapping relationship between virtual machine requests and physical servers; g). Perform resource allocation. The cloud computing resource allocation method of the present invention uses a multi-objective optimization algorithm to obtain a set of solutions through the established multi-objective functions and constraints, and selects a solution as a mapping scheme to realize the optimal deployment of virtual machines. At the same time, the allocation method has the function of supporting emergencies, and emergency users can be allocated first.

Description

technical field [0001] The present invention relates to a method for allocating cloud computing resources, and more specifically, to a method for allocating cloud computing resources supporting emergencies. Background technique [0002] Cloud computing gathers large-scale computing, storage, and network resources to form a large resource pool, and effectively cuts, allocates, and integrates resources through virtualization technology to achieve efficient use of resources. It provides an on-demand mode. Cloud computing users can lease resources on demand to reduce costs. Cloud platform providers can realize on-demand supply and dynamic management of virtual resources through reasonable scheduling to improve resource utilization. [0003] Common cloud computing resource allocation and scheduling methods in recent years can be summarized into cost-driven allocation methods, revenue-driven allocation methods, energy-saving scheduling methods, and load-balancing scheduling method...

AI Technical Summary

Problems solved by technology

Although these methods propose effective resource allocation and scheduling methods from the perspective of user cost requirements or cloud computing platform energy saving, most of them are based on fair allocation and do not consider the emergency resource demand, resulting in poor resource allocation results for cloud computing service platforms.

[0004] Every year in our country, emergencies cause incalculable economic losses and casualties. Emergencies usually have the characteristics of high urgency, great harm, and uncertainty. Existing information resources are usually difficult to meet emergency needs, and temporary construction is also difficult. It is too late, and there is an urgent need for a comprehensive and fast-response new information technology to provide emergency support

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