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Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques
In recent years, fog computing has become a promising technology that supports computationally intensive and time-sensitive applications, especially...
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Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey
Internet of Things (IoT) is made up with growing number of facilities, which are digitalized to have sensing, networking and computing capabilities....
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Efficient computation for task offloading in 6G mobile computing systems
This research focuses on achieving efficient computation for complex tasks within the overlap** coverage of 6G network base stations. A...
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A metaheuristic-based task offloading scheme with a trade-off between delay and resource utilization in IoT platform
Fog computing has emerged as the most popular technology for processing delay-sensitive tasks in the Internet of Things platform. However, offloading...
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Joint Task Offloading and Multi-Task Offloading Based on NOMA Enhanced Internet of Vehicles in Edge Computing
With the rapid development of technology, the Internet of vehicles (IoV) has become increasingly important. However, as the number of vehicles on...
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Multi-objective task offloading optimization in fog computing environment using INSCSA algorithm
The presence of limitations such as processing and energy in many of end devices has resulted in task offloading to other sources. To address these...
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Collaborative offloading decision policy framework in IoT using edge computing
Internet of Things (IoT) gives rise to concerns regarding edge computing policies for intelligent data processing to optimize resources at edge...
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A task offloading strategy considering forwarding errors based on cloud–fog collaboration
Fog computing, specialized in handling latency-sensitive and resource-hungry tasks, emerges as a pivotal paradigm for Internet of Things (IoT). Task...
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Hybrid metaheuristics for selective inference task offloading under time and energy constraints for real-time IoT sensing systems
The recent widespread of AI-powered real-time applications necessitates the use of edge computing for inference task offloading. Power constrained...
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Deep Reinforcement Learning and Markov Decision Problem for Task Offloading in Mobile Edge Computing
Mobile Edge Computing (MEC) offers cloud-like capabilities to mobile users, making it an up-and-coming method for advancing the Internet of Things...
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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum
The integration of new Internet of Things (IoT) applications and services heavily relies on task offloading to external devices due to the...
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Dynamic task offloading for resource allocation and privacy-preserving framework in Kubeedge-based edge computing using machine learning
KubeEdge is an open-source system extending native containerized application orchestration and device management to hosts at the edge. One of the...
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Task offloading in Internet of Things based on the improved multi-objective aquila optimizer
The Internet of Things (IoT) is a network of tens of billions of physical devices that are all connected to each other. These devices often have...
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Hybrid Immune Whale Differential Evolution Optimization (HIWDEO) Based Computation Offloading in MEC for IoT
The adoption of User Equipment (UE) is on the rise, driven by advancements in Mobile Cloud Computing (MCC), Mobile Edge Computing (MEC), the Internet...
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An intelligent offloading and resource allocation using Fuzzy-based HHGA algorithm for IoT applications
The need for intelligence in today’s era has tremendously increased the demand for Internet of Things (IoT) devices implanted to collect and process...
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An intelligent approach of task offloading for dependent services in Mobile Edge Computing
With the growing popularity of Internet of Things (IoT), Mobile Edge Computing (MEC) has emerged for reducing the heavy workload at the multi-cloud...
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IoT workload offloading efficient intelligent transport system in federated ACNN integrated cooperated edge-cloud networks
Intelligent transport systems (ITS) provide various cooperative edge cloud services for roadside vehicular applications. These applications offer...
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TOS-LRPLM: a task value-aware offloading scheme in IoT edge computing system
Maximizing the utility of large-scale Internet of Things (IoT) is an important issue in practice. In this paper, we attempt to improve the...
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Fog Resource Aware Framework for Task Offloading in IoT Systems
In IoT-based systems, fog computing allows the fog nodes to offload and process tasks requested from IoT-enabled devices in a distributed manner...
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An osmotic approach-based dynamic deadline-aware task offloading in edge–fog–cloud computing environment
Edge–fog–cloud computing system can be divided into edge or IoT layer (tier 1), fog layer (tier 2) and cloud layer (tier 3). The devices at the edge...
