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Application of Bioinspired Methods for Solving the Problem of Resource Allocation in Cloud Platforms

Currently, the resources of cloud platforms are most often used for storing and processing big data. Flexible scalability is one of the main benefits of distributed cloud resources. Thus, the most effective tool for optimizing costs in big data processing is a well-designed mechanism that optimizes the data flow taking into account SLA. This article discusses the application of bioinspired algorithms to the problem of cost optimization in the processing of Big Data in cloud platforms, taking into account service level agreements. It is established that the most effective methods for solving this problem are Gravity Search and Ant Colony Algorithm.