Abstract: Organizations around the world are increasingly using multiple clouds for critical workloads, which makes the accurate prediction of cloud workload a collaborative task across multiple cloud ...

Abstract: Mental workload (MWL) assessment is crucial in information systems (IS), impacting task performance, user experience, and system effectiveness. Deep learning offers promising techniques for ...

Forbes contributors publish independent expert analyses and insights. Charles writes about organisational changes required to scale & AI. Writing predictions for the future is a fool’s game. So, I am ...

Today, cloud workloads are largely opaque to the cloud platform. Typically, the only information the platform receives is the virtual machine (VM) type and possibly a decoration to the type (e.g., the ...

Cloud providers introduce features (e.g., Spot VMs, Harvest VMs, and Burstable VMs) and optimizations (e.g., oversubscription, auto-scaling, power harvesting, and overclocking) to improve efficiency ...