Optimizing the machine ensemble to perform construction tasks

Randomization helps to perform independent tasks reliably

This paper is about algorithms that schedule tasks to be performed in a distributed failure-prone environment, when processors communicate by message-passing, and when tasks are independent and of unit length. The processors work under synchrony and may fail by crashing. Failure patterns are imposed by adversaries. The question how the power of adversaries affects the optimality of randomized a...

Perform Three Data Mining Tasks with Crowdsourcing Process

For data mining studies, because of the complexity of doing feature selection process in tasks by hand, we need to send some of labeling to the workers with crowdsourcing activities. The process of outsourcing data mining tasks to users is often handled by software systems without enough knowledge of the age or geography of the users' residence. Uncertainty about the performance of virtual user...

Randomization Helps to Perform Tasks on Processors Prone to Failures

Optimizing the stretch of independent tasks on a cluster: From sequential tasks to moldable tasks

This paper addresses the problem of scheduling non-preemptive moldable tasks to minimize the stretch of the tasks in an online non-clairvoyant setting. To the best of the authors’ knowledge, this problem has never been studied before. To tackle this problem, first the sequential sub-problem is studied through the lens of the approximation theory. An algorithm, called DASEDF, is proposed and, th...

Cultural differences in neuropsychological abilities required to perform intelligence tasks.

Different studies have demonstrated that culture has a basic role in intelligence tests performance. Nevertheless, the specific neuropsychological abilities used by different cultures to perform an intelligence test have never been explored. In this study, we examine the differences between Spaniards and Moroccans in the neuropsychological abilities utilized to perform the Beta III as a non-ver...