[HTML][HTML] Workflow migration in uncertain edge computing environments based on interval many-objective evolutionary algorithm

Z Shi, T Zhao, Q Li, Z Zhang, Z Cui - Egyptian Informatics Journal, 2023 - Elsevier
In edge computing (EC), when the edge server (ES) is processing tasks delivered by the
mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration …

Resource allocation and task off-loading for 6G enabled smart edge environments

SU Jamil, MA Khan, SU Rehman - IEEE Access, 2022 - ieeexplore.ieee.org
There has been an enormous increase in information flow and communication data due to
the rapid rise in the number of Internet of Everything (IoE) devices and the development of …

Application-aware computation offloading in edge computing networks

R Lin, X Guo, S Luo, Y Xiao, B Moran… - Future Generation …, 2023 - Elsevier
Edge computing involves distributive computation resources deployed at the network edge,
unlike cloud computing, which has central computation resources in data centers. Edge …

A many-objective evolutionary algorithm for solving computation offloading problems under uncertain communication conditions

Q Li, Z Shi, Z Xue, Z Cui, Y Xu - Computer Communications, 2024 - Elsevier
Computation offloading is a critically important technology in the field of edge computing,
enabling improved conditions for task computation. Existing studies on computation …

Online task offloading algorithm based on multi-objective optimization caching strategy

M Xie, X Su, H Sun, G Zhang - Computer Networks, 2024 - Elsevier
Within the realm of Mobile Edge Computing (MEC), task offloading has consistently
garnered significant attention. Within the context of intricate caching environments and multi …

Optimizing Internet of Things Fog Computing: Through Lyapunov-Based Long Short-Term Memory Particle Swarm Optimization Algorithm for Energy Consumption …

S Pan, C Huang, J Fan, Z Shi, J Tong, H Wang - Sensors, 2024 - mdpi.com
In the era of continuous development in Internet of Things (IoT) technology, smart services
are penetrating various facets of societal life, leading to a growing demand for …

Towards optimal edge resource utilization: Predictive analytics and reinforcement learning for task offloading

S Pradhan, S Tripathy, R Matam - Internet of Things, 2024 - Elsevier
Edge computing brings computation closer to the user devices. This proximity allows user
devices with limited resources to execute complex and computation-intensive tasks on the …

A Cooperative Community-Based Framework for Service Caching and Task Offloading in Multi-Access Edge Computing

Z Liao, GY Yin, XY Tang, P Liu - IEEE Transactions on Network …, 2024 - ieeexplore.ieee.org
In multi-access edge computing, services are cached from cloud servers to the edge base
station providing low-latency services. Horizontal Collaboration (HC) between Base Stations …

Task offloading with multi-cluster collaboration for computing and network convergence

Y Li, B Lei, Z Li, Z Qu, X Zhang, W Wang - Proceedings of the 29th …, 2023 - dl.acm.org
Edge computing servers have been widely deployed in recent years to address the
requirements of diverse tasks that are sensitive to delays and computationally intensive …

Incentive-Driven Task Offloading and Collaborative Computing in Device-Assisted MEC Networks

Y Li, X Zhang, B Lei, Q Zhao, M Wei… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Edge computing (EC), positioned near end devices, holds significant potential for delivering
low-latency, energy-efficient, and secure services. This makes it a crucial component of the …