Data center virtual machine placement method and system, medium and equipment

Abstract

The invention discloses a data center virtual machine placement method and system, a medium and equipment, N virtual machines and M physical machines are given, p sequences po are initialized at the same time, and each sequence represents a sequential request sequence of the N virtual machines and serves as an original population; a physical machine in which the virtual machine should be placed is selected for each sequence pi in the original population by adopting an optimal adaptation method, a temperature rise index is calculated after the virtual machine is placed through an evaluation function, and the physical machine with the minimum temperature rise index in the current sequence pi serves as a current target physical machine; an initial population of the genetic algorithm is obtained through p times of circulation; crossover and mutation operation is performed on each sequence in the obtained initial population, the fitness of each sequence is calculated through a fitness function, and the population of the next iteration is selected by using a roulette algorithm, after t rounds of iteration, a physical machine sequence with the minimum fitness function value is selected to serve as a sequence with the minimum energy consumption and the most average temperature distribution, and virtual machine placement is completed; energy saving and hot spot avoiding targets can be achieved.

Description

technical field [0001] The invention belongs to the technical field of data center virtual machines, and in particular relates to a data center virtual machine placement method, system, medium and equipment. Background technique [0002] With the continuous increase in the number and scale of data centers, the energy consumption of data centers is also increasing day by day. According to research, by 2025, data centers will account for the largest share of global energy consumption, up to 33%. In China, the power consumption of national data centers has grown at a rate of more than 12% for more than 9 consecutive years. How to reduce the power consumption of data centers has become a research hotspot. Data center power consumption is mainly composed of two parts, namely IT power consumption and non-IT power consumption. IT power consumption mainly includes CPU, memory, network card, fan and other components. Non-IT mainly refers to computer room air conditioning system (CR...

AI Technical Summary

Problems solved by technology

If a virtual machine is scheduled to a high-temperature area, hot spots are likely to occur. On the one hand, it will increase the cost of the cooling system. On the other hand, it will cause server downtime and cause immeasurable losses.

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