Delay-Constrained Hybrid Computation Offloading With Cloud and Fog Computing
IEEE Access, 2017 To satisfy the delay constraint, the computation tasks can be offloaded to some computing servers, referred to as offloading destinations. Different to most of existing works which usually consider only a single type of offloading destinations, in this ...
Xianling Meng, Wei Wang, Zhaoyang Zhang
doaj +1 more source
Efficient Task Offloading Algorithm for Digital Twin in Edge/Cloud Computing Environment [PDF]
, 2023 Ziru Zhang +4 more
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Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose To assess the outcomes and complication rates of early weightbearing (either immediate weightbearing as tolerated or partial weightbearing) and delayed weightbearing (an initial period of non‐weightbearing or toe‐touch weightbearing) following distal femoral osteotomy (DFO).
Nicholas A. Apseloff +5 more
wiley +1 more source
Dynamic Evolution and Transformative Trends in the Consumer Market: A Technology Paradox Perspective
Psychology &Marketing, EarlyView.ABSTRACT The consumer market is defined by tensions arising from the clash between technological advancement and consumer psychology. Current research lacks a unifying framework to explain these contradictions. Addressing this gap, we introduce a conceptual model based on technology paradox theory, which maps the dynamic process from antecedents ...
Chanaka Jayawardhena +3 more
wiley +1 more source
Offloading Algorithm for Multi-Agent and Double-Layer Offloading in Internet of Vehicle [PDF]
Jisuanji gongchengIn 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
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μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments [PDF]
, 2023 Mohammad Goudarzi +3 more
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TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
Materials Genome Engineering Advances, EarlyView.TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Computation task offloading algorithm and system level simulation for vehicles
物联网学报, 2019 With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving ...
Qicheng ZENG, Yuxuan SUN, Sheng ZHOU
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A Task Offloading Solution for Internet of Vehicles Using Combination Auction Matching Model Based on Mobile Edge Computing [PDF]
, 2020 Yang Shi
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Offloading Computation for Efficient Mobile Cloud Computing
Indian Journal of Science and Technology, 2016 Background/Objectives: Mobile and cloud are two of the most used technologies today and it is only a matter of time before these technologies combine. In this study we try to combine these two. Method/Statistical Analysis: To study the combination of these two technologies, we offloaded a certain amount of computational work from a mobile device (An ...
Hitika Atre +2 more
openaire +1 more source