The Optimization of Query Processing in Sea Base Cloud Databases Based on CCEVP Model

Abdulkadir Ozdemir and Hasa

Abstract

A cloud database is a distributed database that can provide services for distributed data. The Sea Base is a cloud database that can offer integrated services from different databases. Several methods have been proposed for query processing in cloud databases. This study intends to propose a new method to optimize query processing in cloud databases. By detecting frequent queries sent to the database and keeping their execution plans, this method attempts to optimize query processing in the Sea Base. It is composed of three parts: separator, similarity detector and replacement policy. The results of system simulation show, that the system time response is reduced by 1.9 percent with this method. In future, this optimization can improve by improving the said parts.

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