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Driven by the increasing popularity of the Internet and 4G technology, various Internet companies emerge at the historic moment. Under the influence of various companies and we-media, microblog and information media, a large amount of data is generated, and human society has entered the era of big data. Data provides a brand-new approach in scientific decision-making, scenario analysis, future event prediction, etc. The value of data is becoming increasingly important in today’s society. Therefore, the solution of mass data storage and how to effectively process the data has become a top priority for many Internet companies and data companies. Distributed technology has the characteristic of distributed storage and provides a new way to solve the problem of big data application by using network approach. To solve this problem, this paper optimizes the virtual machine placement strategy: In the use of virtualization system, an important issue to pay attention to is the VM allocation to the host, the use of scientific virtual machine placement strategy to improve the service level of the data center, reduce the energy consumption of the data center, reduce the waste of resources is of great significance. Therefore, this paper proposes the multi-objective fuzzy GGA optimization algorithm to improve the utilization rate of all resources by balancing the utilization coefficients of all aspects of resources.
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