Cloud computing resource allocation method supporting sudden emergency

Abstract

The invention relates to a cloud computing resource allocation method supporting sudden emergency. The method comprises the steps that 1, user resource application information including user priority,urgency degree of resource requirements, resource application quantity and configuration is acquired; 2, the user resource allocation priority is calculated; 3, resource information of a physical server is acquired; 4, the resource utilization rate of the physical server is calculated; 5, a multi-objective function with optimal performance matching of a virtual machine, shortest time provided bythe virtual machine and minimum total load change of a platform and a constraint condition are established; 6, a mapping relation of a virtual machine request and the physical server is established; 7, resource allocation is conducted. According to the cloud computing resource allocation method supporting the sudden emergency, the multi-objective function and the constraint condition are established, a multi-objective optimization algorithm is adopted for obtaining a solution set, a solution is selected as a mapping scheme, and optimal arrangement of the virtual machine can be achieved. Meanwhile, the allocation method has the function of supporting the sudden emergency and can preferentially allocate resources for sudden emergency users.

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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