Resource and delay aware fine-grained service offloading in collaborative edge computing
Fine-grained service offloading in collaborative edge computing can realize full use of the
limited resources of edge nodes to achieve efficient parallel computing. The existing …
limited resources of edge nodes to achieve efficient parallel computing. The existing …
Fine-grained service offloading in b5g/6g collaborative edge computing based on graph neural networks
Fine-grained service offloading in collaborative edge computing can make full use of the
limited resource of edge nodes to achieve efficient parallel computing. It is imperative to …
limited resource of edge nodes to achieve efficient parallel computing. It is imperative to …
Collaborative coalitions-based joint service caching and task offloading for edge networks
Z Wang, H Du - Theoretical Computer Science, 2023 - Elsevier
Mobile edge computing (MEC) is seen as a promising method of computation offloading.
Moving services from cloud servers to mobile edge nodes (MENs) can decrease service …
Moving services from cloud servers to mobile edge nodes (MENs) can decrease service …
Graph Neural Network Aided Deep Reinforcement Learning for Microservice Deployment in Cooperative Edge Computing
S Chen, Q Yuan, J Li, H He, S Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Deploying microservices on the cooperative edge computing system greatly shortens the
interaction delay between users and service and alleviates the traffic burden on the …
interaction delay between users and service and alleviates the traffic burden on the …
Graph-reinforcement-learning-based task offloading for multiaccess edge computing
Z Sun, Y Mo, C Yu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Network applications involve massive heterogeneous data fusion and analysis. Artificial
intelligence can significantly improve the convenience and user experience, but it requires a …
intelligence can significantly improve the convenience and user experience, but it requires a …
Latency-aware optimization of the existing service mesh in edge computing environment
Z Sun - 2019 - diva-portal.org
Edge computing, as an approach to leveraging computation capabilities located in different
places, is widely deployed in the industry nowadays. With the development of edge …
places, is widely deployed in the industry nowadays. With the development of edge …
Computational task offloading algorithm based on deep reinforcement learning and multi-task dependency
X Zhang, T Lin, CK Lin, Z Chen, H Cheng - Theoretical Computer Science, 2024 - Elsevier
Edge computing is an emerging promising computing paradigm, which can significantly
reduce the service latency by moving computing and storage demands to the edge of the …
reduce the service latency by moving computing and storage demands to the edge of the …
A DRL-based service offloading approach using DAG for edge computational orchestration
Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs)
with different computation capabilities to run social application's workload based on a …
with different computation capabilities to run social application's workload based on a …
Multi-Task Offloading via Graph Neural Networks in Heterogeneous Multi-access Edge Computing
M Ma - arXiv preprint arXiv:2306.10232, 2023 - arxiv.org
In the rapidly evolving field of Heterogeneous Multi-access Edge Computing (HMEC),
efficient task offloading plays a pivotal role in optimizing system throughput and resource …
efficient task offloading plays a pivotal role in optimizing system throughput and resource …
GASTO: A fast adaptive graph learning framework for edge computing empowered task offloading
Mobile edge computing (MEC) has become a research trend that solves effectively
computationally intensive and latency-sensitive tasks. MEC environments in the real world …
computationally intensive and latency-sensitive tasks. MEC environments in the real world …