The classification and brief analysis of existing developments for the search optimization in databases

Abstract

The article is devoted to the classification and brief analysis of existing developments, which can be used to optimize the search database in the cloud. The growing demand for service providers offering a broad range of cloud computing services for large numbers of users all over the world, leading to increase in the number of applications, the purpose of which is to process large data sets. The operation of the database in the cloud leads to the need to find new search instruments. The present level of development of information technology makes real-time information resources available. In the article the description of query optimization in the cloud SQL type database, NoSQL type and architecturespecific solutions are given. For all methods advantages and disadvantages are presented. Common to all methods is the lack of synthetic nature of the results, that is, that the introduction of statistics obtained in artificial systems created just for testing approach. However, relatively to large number of studies for a fairly young field suggests that the problem is urgent and the optimization of such developments in the near future will be in demand.