A survey on task offloading in multi-access edge computing
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …
new type of application that requires huge computation power and minimal delay …
Energy-efficient fog computing for 6G-enabled massive IoT: Recent trends and future opportunities
Fog computing is a promising technology that can provide storage and computational
services to future 6G networks. To support the massive Internet-of-Things (IoT) applications …
services to future 6G networks. To support the massive Internet-of-Things (IoT) applications …
Multi-objective computation sharing in energy and delay constrained mobile edge computing environments
In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload
their computations to multiple edge servers that provide additional computing resources …
their computations to multiple edge servers that provide additional computing resources …
Joint task partitioning and user association for latency minimization in mobile edge computing networks
Mobile edge computing (MEC) is a promising solution to support emerging delay-sensitive
mobile applications, such as self-driving, augment/virtual reality, and various Internet of …
mobile applications, such as self-driving, augment/virtual reality, and various Internet of …
Task offloading in fog computing: A survey of algorithms and optimization techniques
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …
computing in terms of latency and quality of service for time-sensitive applications have led …
Dynamic server placement in edge computing toward internet of vehicles
Facing serious challenges in bandwidth and delay, currently adopted cloud computing is no
longer effective for providing real-time Internet of Vehicles (IoV) services in the intelligent …
longer effective for providing real-time Internet of Vehicles (IoV) services in the intelligent …
Mobility-aware task offloading and migration schemes in fog computing networks
D Wang, Z Liu, X Wang, Y Lan - IEEE Access, 2019 - ieeexplore.ieee.org
Fog computing is an extension of cloud computing, which emphasizes distributed computing
and provides computing service closer to user equipments (UEs). However, due to the …
and provides computing service closer to user equipments (UEs). However, due to the …
Joint task offloading and QoS-aware resource allocation in fog-enabled Internet-of-Things networks
Fog computing is an advanced technique to enhance the Quality of Service (QoS), decrease
network latency and energy consumption for Internet-of-Things devices (IDs). In this article …
network latency and energy consumption for Internet-of-Things devices (IDs). In this article …
Deep reinforcement learning-based multi-objective edge server placement in Internet of Vehicles
J Lu, J Jiang, V Balasubramanian, MR Khosravi… - Computer …, 2022 - Elsevier
In the typical scenario of the Internet of Vehicles (IoV), the edge servers (ESs) are laid out
near the road side units (RSUs) to process the collected data for a variety of IoV services in …
near the road side units (RSUs) to process the collected data for a variety of IoV services in …
Task allocation in fog-aided mobile IoT by Lyapunov online reinforcement learning
Fog-aided mobile IoT is proposed to speed up service response by deploying fog nodes at
network edges. We investigate the task allocation in fog-aided mobile IoT networks, where …
network edges. We investigate the task allocation in fog-aided mobile IoT networks, where …