We consider a model for scheduling under uncertainty. In this model, we combine the main characteristics of online and stochastic scheduling in a simple and natural way. Job processing times are ...

A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...

An engineer elegantly solves a basic transit scheduling problem, potentially meaning shorter waits for riders. The question: how much slack should be schedulers of a bus or tram line add to keep ...

Grid computing is a powerful form of distributed computing wherein a network of loosely coupled and geographically separated computers, typically of different computational powers, work together to ...

The Journal of the Operational Research Society, Vol. 49, No. 11 (Nov., 1998), pp. 1130-1145 (16 pages) We have developed a Genetic algorithm (GA) for the optimisation of maintenance overhaul ...

Computerized scheduling systems are a method of using scheduling algorithms and rules to help multiple people manage appointments and meetings. Computerized scheduling allows users to publicly share ...

When it comes to tennis, I’m definitely at the “weekend warrior” level of play. With more practice, I’m sure I could improve, but without a reliably available tennis court, getting in a few sets every ...