Task Graph offloading via Deep Reinforcement Learning in Mobile Edge Computing

arXiv:2309.10569v4 Announce Type: replace-cross
Abstract: Various mobile applications that comprise dependent tasks are gaining widespread popularity and are increasingly complex. These applications often have low-latency requirements, resulting in a significant surge in demand for computing resources. With the emergence of mobile edge computing (MEC), it becomes the most significant issue to offload the application tasks onto small-scale devices deployed at the edge of the mobile network for obtaining a high-quality user experience. However, since the environment of MEC is dynamic, …

abstract applications arxiv computing computing resources cs.dc cs.lg demand edge edge computing emergence graph latency low mobile mobile applications mobile edge computing reinforcement reinforcement learning requirements resources tasks type via