This paper examines the effects of taking more high school math and science classes on wages, the likelihood of entering a technical job or a job traditional for one's sex, and the likelihood of choosing a technical college major or a major traditional for one's sex. Results from two data sets show that taking more high school math increases wages and increases the likelihood of entering techni...

Minimizing job scheduling time is a fundamental issue in data center networks that has been extensively studied in recent years. The incoming jobs require different CPU and memory units, and span different number of time slots. The traditional solution is to design efficient heuristic algorithms with performance guarantee under certain assumptions. In this paper, we improve a recently proposed ...

Traditional scheduling models assume that the execution time of a job in a periodic job-set is constant in every instance of its execution. This assumption does not hold in real-time systems wherein job execution time is known to vary. A second feature of traditional models is their lack of expressiveness, in that constraints more complex than precedence constraints (for instance, relative timi...

Recruitment and selection have the first priority in human resource management. Traditional methods is based on linear model, it selects candidate by appraisal and ranking. However, selection system is intricate and nonlinear. Ranking method can not find the right person sometimes. For a ranked candidate, the job performance after being selected is unclear. The recruitment is unsuccessful when ...

Flexible job shop scheduling problem, is an extension of the classical job shop scheduling problem. In Flexible job shop scheduling problem, there are more than one machine with the same features for the same purpose. The problem can be defined as appointing the jobs to the machines (assignment) and ordering the jobs at each machine (sequencing) to serve the desired purpose. Multi-objective fle...

Meaningful work has become an increasingly valued job outcome for many employees. It is also receiving increased attention in the management and organizational behavior research literatures. In this study, antecedents and consequences of meaningful work are examined. A particular type of person-job fit, self-concept-job fit, is proposed and found to be a significant predictor of meaningful work...

MapReduce is a programming model and an associated implementation for processing parallel data, which is widely used in Cloud computing environments. However, the traditional MapReduce system is based on a centralized master-slave structure. While, along with the increase of the number of MapReduce jobs submitted and system scale, the master node will become the bottleneck of the system. To imp...

The job shop scheduling problem (JSP) is one of the most difficult problems in traditional scheduling because any job consists of a set operations and also any operation processes by a machine. Whereas the operation is placed in the machine, it is essential to be considering setup times that the times strongly depend on the various sequencing of jobs on the machines. This research is developed ...