Tag: task offloading

A new Trust-aware Cloudlet Federation model balances node credibility against delivery speed in edge computing, revealing a 40 percent deviation ...

A new DDPG-based scheduling framework called SPARCD uses vehicle position prediction, action masking, and state filling to cut task interruption ...

A deep reinforcement learning method called P2TO extends task offloading from edge and cloud servers down to individual virtual machines, ...

Researchers have developed an adaptive weighted cost-optimization approach that makes optimal task offloading decisions in mobile edge computing within milliseconds, ...

Researchers in China have developed an improved white shark optimization algorithm that substantially lowers user-perceived cost and scales to networks ...

Researchers have combined a digital twin simulation platform with federated multi-agent reinforcement learning to optimize resource allocation across satellite, UAV, ...

A new comprehensive survey in Cluster Computing systematically compares how deep reinforcement learning algorithms are transforming task scheduling and offloading ...

A new framework combining adaptive fuzzy logic and federated deep reinforcement learning cuts energy consumption in vehicular edge computing by ...