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High scalability and resource availability are important aspects of managing a scalable system. Problems related to resource management to meet data requests at once can be quite serious because it can burden server performance. Using container technology, the load balancing approach is our solution to this problem to optimize resource availability on highly scalable systems. The type of load balancer used is HAProxy with the round-robin method because of the high ease and flexibility in configuration quickly and precisely. We measure throughput, latency, and CPU usage to determine the performance and success of a load balancer in managing workloads. Several experiments found that CPU usage on several servers was almost evenly distributed with a difference of 1-2% and a latency difference between servers of around 1 ms. The load balancer works well and manages to divide the workload. [ABSTRACT FROM AUTHOR]

Torrance Test Creative Thinking (TTCT) figural form was developed to measure creativity based on Guilford's theory. This test measures fluency, flexibility, originality, and elaboration scales. The state-of-the-art assessment involves a human rater to judge respondent responses to creative thinking tests. Such a judging process is time-consuming and subjective preferences. We, therefore, propose a novel assessment of creative thinking to address the issues, partially for elaboration scales. Elaboration scale is the ability to detail and deepen initial ideas which increase their complexity and improves presentation. In image analysis, this scale is determined by estimating the number of objects in an image. The Maximum Excess over Sub Array (MESA) distance predicts image density values by estimating low-level features and sharing the advantages of general regression-based methods, while also maintaining location information. The maximum counting error performs all rectangular subregions as a learning objective function. The result statistically confirmed that the proposed method has no significant difference from human rater judging. In other words, the proposed method is reasonable to judge respondent responses to the creative thinking test. [ABSTRACT FROM AUTHOR]

Torrance Test Creative Thinking (TTCT) figural form was developed to measure creativity based on Guilford's theory. This test measures fluency, flexibility, originality, and elaboration scales. The state-of-the-art assessment involves a human rater to judge respondent responses to creative thinking tests. Such a judging process is time-consuming and subjective preferences. We, therefore, propose a novel assessment of creative thinking to address the issues, partially for elaboration scales. Elaboration scale is the ability to detail and deepen initial ideas which increase their complexity and improves presentation. In image analysis, this scale is determined by estimating the number of objects in an image. The Maximum Excess over Sub Array (MESA) distance predicts image density values by estimating low-level features and sharing the advantages of general regression-based methods, while also maintaining location information. The maximum counting error performs all rectangular subregions as a learning objective function. The result statistically confirmed that the proposed method has no significant difference from human rater judging. In other words, the proposed method is reasonable to judge respondent responses to the creative thinking test. [ABSTRACT FROM AUTHOR]