Results 11 to 20 of about 4,861 (115)

Individual differences in cognitive offloading: a comparison of intention offloading, pattern copy, and short-term memory capacity

open access: yesCognitive Research, 2021
The cognitive load of many everyday life tasks exceeds known limitations of short-term memory. One strategy to compensate for information overload is cognitive offloading which refers to the externalization of cognitive processes such as reminder setting
Hauke S. Meyerhoff   +3 more
doaj   +1 more source

Users' experience matter: Delay sensitivity-aware computation offloading in mobile edge computing

open access: yesDigital Communications and Networks, 2022
As a promising computing paradigm, Mobile Edge Computing (MEC) provides communication and computing capability at the edge of the network to address the concerns of massive computation requirements, constrained battery capacity and limited bandwidth of ...
Mingzhi Wang   +4 more
doaj   +1 more source

Online Task Offloading Decision Algorithm for High-speed Vehicles [PDF]

open access: yesJisuanji kexue
When and where to offloading tasks are the main problems to be solved in the task offloading decision in vehicular edge computing.High speed driving of the vehicle causes frequent changes of offloading access devices,and the offloading communication ...
DING Shuang, CAO Muyu, HE Xin
doaj   +1 more source

Offloading Algorithm for Multi-Agent and Double-Layer Offloading in Internet of Vehicle [PDF]

open access: yesJisuanji gongcheng
In the edge computing environment of the Internet of Vehicles (IoV), with the aim of efficiently offloading tasks and allocating resources to alleviate the limited storage and computing power of vehicles, this study proposes a offloading algorithm based ...
Ji ZHANG, Wenwen GONG, Chunhong DUO, Guoliang QI
doaj   +1 more source

Joint Wireless Source Management and Task Offloading in Ultra-Dense Network

open access: yesIEEE Access, 2020
The ultra-dense network (UDN) based on mobile edge computing (MEC) is an important technology, which can achieve the low-latency of 5G communications and enhance the quality of user experience.
Shanchen Pang, Shuyu Wang
doaj   +1 more source

OPTOS: A Strategy of Online Pre-Filtering Task Offloading System in Vehicular Ad Hoc Networks

open access: yesIEEE Access, 2022
The advanced services provided by vehicle ad hoc networks (VANETs) often require vehicles to process complex computing tasks that may not be completed by individual vehicles within a required delay limit.
Junjing He   +5 more
doaj   +1 more source

Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing

open access: yesSensors, 2022
Mobile edge computing (MEC), which sinks the functions of cloud servers, has become an emerging paradigm to solve the contradiction between delay-sensitive tasks and resource-constrained terminals.
Xiang Liu   +5 more
doaj   +1 more source

Time-Minimized Offloading for Mobile Edge Computing Systems

open access: yesIEEE Access, 2019
Task offloading is the hot issue for current network. The rapid development of intelligent terminals brings new opportunity for offloading. This paper studies the problem of task offloading in a mobile edge computing system, where both the fixed devices ...
Xinyu Qiu, Linbo Zhai, Hua Wang
doaj   +1 more source

A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective

open access: yesQubahan Academic Journal, 2023
The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing
Wang Dayong   +2 more
doaj   +1 more source

Latency-Classification-Based Deadline-Aware Task Offloading Algorithm in Mobile Edge Computing Environments

open access: yesApplied Sciences, 2019
In this study, we consider an edge cloud server in which a lightweight server is placed near a user device for the rapid processing and storage of large amounts of data.
HeeSeok Choi, Heonchang Yu, EunYoung Lee
doaj   +1 more source

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