A survey on optimization techniques for edge artificial intelligence (ai)
C Surianarayanan, JJ Lawrence, PR Chelliah… - Sensors, 2023 - mdpi.com
Artificial Intelligence (Al) models are being produced and used to solve a variety of current
and future business and technical problems. Therefore, AI model engineering processes …
and future business and technical problems. Therefore, AI model engineering processes …
A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches
Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …
has attracted wide attention as one of the cornerstones of modern service architectures. An …
[HTML][HTML] An optimal fog-cloud offloading framework for big data optimization in heterogeneous IoT networks
S Bebortta, SS Tripathy, UM Modibbo, I Ali - Decision Analytics Journal, 2023 - Elsevier
Executing complex and time-sensitive operations has become difficult due to the increased
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …
Dependent task offloading with deadline-aware scheduling in mobile edge networks
In the field of the Internet of Things (IoT), Edge computing has emerged as a revolutionary
paradigm that offers unprecedented benefits by serving the IoT at the network edge. One of …
paradigm that offers unprecedented benefits by serving the IoT at the network edge. One of …
Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing
X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …
important role in some complex environments such as mountainous and disaster areas …
Non-cooperative game algorithms for computation offloading in mobile edge computing environments
Abstract Mobile Edge Computing (MEC) has become a promising technology for 5G
networks. Computation offloading is an essential issue of MEC, which enables mobile User …
networks. Computation offloading is an essential issue of MEC, which enables mobile User …
Task offloading and resource allocation in vehicular networks: A Lyapunov-based deep reinforcement learning approach
AS Kumar, L Zhao, X Fernando - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained popularity due to its ability to enhance
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
vehicular networks. VEC servers located at Roadside Units (RSUs) allow low-power …
[HTML][HTML] A review of decision support systems in the Internet of Things and supply chain and logistics using web content mining
Abstract The Internet of Things (IoT) has attracted the attention of researchers and
practitioners in supply chains and logistics (LSCs). IoT improves the monitoring, controlling …
practitioners in supply chains and logistics (LSCs). IoT improves the monitoring, controlling …
A survey of computation offloading with task types
Computation task offloading plays a crucial role in facilitating computation-intensive
applications and edge intelligence, particularly in response to the explosive growth of …
applications and edge intelligence, particularly in response to the explosive growth of …
Next generation task offloading techniques in evolving computing paradigms: Comparative analysis, current challenges, and future research perspectives
Cloud computing being an integral part of today's technical advancements, still faces issues
regarding resource allocation, task scheduling, communication latency, etc. To address …
regarding resource allocation, task scheduling, communication latency, etc. To address …