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

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 ...

Scheduling algorithms lie at the heart of manufacturing systems optimisation by determining the order and allocation of tasks to resources. Their development is crucial for minimising production times ...

Cloud computing has revolutionised the way computational resources are accessed, providing scalable, on‐demand services that underpin a myriad of modern applications. Central to this paradigm is task ...

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 ...

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 ...

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 ...

When a day care worker told Journelle Clark that her five-year-old daughter often cried because she missed her mother, Clark realized something was really wrong. The 32-year-old works unpredictable ...