Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

One calculation probes complex behavior and yields a checkable result where classical simulation blows up in cost—vital for ...

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

You get smart. Then you get uncomfortably smart. That rare, off-the-charts, stop-everyone-in-their-tracks type of ...

Abstract: Existing dependent task offloading approaches mainly rely on centralized algorithms and are typically constrained to single-objective optimization. In addition, offloading fairness among fog ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...

The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Abstract: In the current NISQ (Noisy Intermediate-Scale Quantum) era, simulating and verifying noisy quantum circuits is crucial but faces challenges such as quantum state explosion and complex noise ...