Fast adaptive task offloading and resource allocation via multiagent reinforcement learning in heterogeneous vehicular fog computing
Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …
Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing
This research paper investigates Mobile Edge Computing (MEC) networks, which involve
numerous wireless devices transferring their computation tasks to various edge servers and …
numerous wireless devices transferring their computation tasks to various edge servers and …
FLASH: Fast model adaptation in ML-centric cloud platforms
The emergence of ML in various cloud system management tasks (eg, workload autoscaling
and job scheduling) has become a core driver of ML-centric cloud platforms. However, there …
and job scheduling) has become a core driver of ML-centric cloud platforms. However, there …
Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning
Modern cloud applications are composed of tens of thousands of environment-agnostic
serverless functions that can be deployed in either a fog or cloud environment. The key to …
serverless functions that can be deployed in either a fog or cloud environment. The key to …
New improved multi-objective gorilla troops algorithm for dependent tasks offloading problem in multi-access edge computing
Computational offloading allows lightweight battery-operated devices such as IoT gadgets
and mobile equipment to send computation tasks to nearby edge servers to be completed …
and mobile equipment to send computation tasks to nearby edge servers to be completed …
Partial Computation Offloading in Satellite-Based Three-Tier Cloud-Edge Integration Networks
Computation offloading tends to be an effective way for mitigating computing pressure of
user equipments (UEs). By computation offloading, the task can be handled in network edge …
user equipments (UEs). By computation offloading, the task can be handled in network edge …
Reliability-aware task processing and offloading for data-intensive applications in edge computing
With the growing popularity of mobile edge computing (MEC), a number of data-intensive
applications have been deployed. Quality of Service (QoS), as one of the most important …
applications have been deployed. Quality of Service (QoS), as one of the most important …
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 …
Optimized multi-user dependent tasks offloading in edge-cloud computing using refined whale optimization algorithm
KM Hosny, AI Awad, MM Khashaba… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Despite the extensive use of IoT and mobile devices in the different applications, their
computing power, memory, and battery life are still limited. Multi-Access Edge Computing …
computing power, memory, and battery life are still limited. Multi-Access Edge Computing …
Delay-aware cooperative task offloading for multi-UAV enabled edge-cloud computing
Unmanned aerial vehicle (UAV) has received tremendous attention in the area of edge
computing due to its flexible deployment and wide coverage accessibility. In weak …
computing due to its flexible deployment and wide coverage accessibility. In weak …