Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …
computational power and storage capacity provided by cloud, edge, and fog computing …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Virtual-reality inter-promotion technology for metaverse: A survey
The metaverse aims to build an immersive virtual reality world to support the daily life, work,
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
and recreation of people. In this survey, the status quo of the metaverse is investigated, and …
Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …
that require a real-time response and low latency have emerged. Fog computing has …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
Efficiency and fairness oriented dynamic task offloading in internet of vehicles
The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …
applications including delay-sensitive and compute-intensive applications. However …
Blockchain-empowered collaborative task offloading for cloud-edge-device computing
How to enable high-performance task offloading and preserve the trust between participants
is imperative yet nontrivial to the Cloud-Edge-Device (CED) computing, mainly because the …
is imperative yet nontrivial to the Cloud-Edge-Device (CED) computing, mainly because the …
Reinforcement learning methods for computation offloading: a systematic review
Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …
applications due to the long distance between end-devices and remote datacenters. In …
Performance optimization of serverless edge computing function offloading based on deep reinforcement learning
X Yao, N Chen, X Yuan, P Ou - Future Generation Computer Systems, 2023 - Elsevier
It is difficult for resource-constrained edge servers to simultaneously meet the performance
requirements of all the latency-sensitive Internet of Things (IoT) applications in edge …
requirements of all the latency-sensitive Internet of Things (IoT) applications in edge …
Reinforcement learning-empowered mobile edge computing for 6G edge intelligence
Mobile edge computing (MEC) is considered a novel paradigm for computation-intensive
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …
and delay-sensitive tasks in fifth generation (5G) networks and beyond. However, its …