Evaluation of Improvement Plans to Increase the Efficiency of Performance Data Collection/Transfer for Server Systems

In recent years, the demand for the shared use and the use of distributed processing of many servers has increased. To analyze the performance data in real-time, it is necessary to reduce the overhead of data collection and transfer and handle them efficiently. Therefore, the objective of this study is to develop an efficient method based on the results of measuring resource usage and overhead during data collection at the target server and data transfer to the server for data analysis. In this report, we examine the effect of parallelizing the transfer process as an efficient method to reduce CPU load, which is one of the bottlenecks in data transfer processing. In addition, we will analyze the impact of the parallelized transfer process and CPU load benchmarks by running them concurrently.