The X-DBaaS-Based stock trading system to overcome low latency in cloud environment

In the latest stock systems, a variety of technologies have been introduced to minimize low latency and accelerate data processing, and a massive amount of stock information has become interoperable. Only with the support of expensive network equipment, however, it is limited to increase the speed. Besides, it is not very effective to induce such equipment. Also, such stock information is hard to be shared in cloud environment for many reasons due to the heterogeneity of metadata. This makes it harder to optimize the proper time of data among stock trading systems as well. This study is going to suggest a stock trading system using X-DBaaS (XMDR-Database as a Service) in cloud environment. The suggested system applies SPT (Safe Proper Time) which can satisfy the proper time of data transmission and also minimize the CPI (Cycle Per Instruction) in order to reduce the CPU overhead based on the understanding of kernels. Moreover, XMDR-DAI is utilized to solve the heterogeneity issues among metadata and schemata taking place in the interoperation of information among stock systems.