To avoid access to PFS, dedicated BB allocation is preferred despite of severe BB underutilization. Recently, new all-flash HPC storage systems with integrated BB and PFS are proposed, which speed up access to PFS. For this reason, we adopt BB over-subscription allocation method by allowing HPC applications to use BB only for I/O phase for improving BB utilization. Unfortunately, BB over-subscription aggravates I/O interference and demotion overhead from BB to PFS, resulting in degraded performance. To minimize the performance degradation, we develop an I/O scheduler to prevent I/O congestion and a new transparent data management system based on checkpoint/restart characteristics of HPC applications. With the proposed approach, not only the BB utilization can be improved, but also high performance of applications is achieved.In our experiments, we find that BB utilization is improved at least 2.2x, and more stable and higher checkpoint performance is guaranteed compared to other approaches. Besides, we achieve up to 96.4% hit ratio of restart requests on BB and up to 3.1x higher restart performance than others.

No abstract

No abstract

The linear regression is a linear approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables denoted X. A linear regression analysis method is used to improve the performance of the instruments using light scattering method. The data measured by these instruments have to be converted to actual PM concentrations using some factors. These findings propose that the instruments using light scattering method can be used to measure and control the PM concentrations of the underground subway stations. this study, the reliability of the instrument for measurement using light scattering method was improved with the help of a linear regression analysis technique to continuously measure the PM concentrations in the subway stations. In addition, linear regression analysis technique was also applied to calibrate a radon counter with the help of an expensive radon measuring apparatus.

Radon is an invisible, odorless, and chemically inactive radioactive gas produced by the decay of uranium ore. Various types of equipment and components have been proposed for use in effective radon detection. In this paper, we used a radon counter with a PIN photodiode radon-sensor module. Using electrostatic collection and the PIN a high sensitivity radon detector for air developed. The calibration system has also been developed using a linear regression analysis technique.