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Truthful Computation Offloading Mechanisms for Edge Computing [PDF]
2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2020 Edge computing (EC) is a promising paradigm providing a distributed computing solution for users at the edge of the network. Preserving satisfactory quality of experience (QoE) for users when offloading their computation to EC is a non-trivial problem.
Weibin Ma, Lena Mashayekhy
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Multi-task offloading scheme for UAV-enabled fog computing networks
EURASIP Journal on Wireless Communications and Networking, 2020 In unmanned aerial vehicle (UAV)-enabled fog computing networks, how to efficiently offload multiple tasks to the computing nodes is a challenging combinatorial optimization problem. In this paper, in order to optimize the total delay for the UAV-enabled
Xujie Li +3 more
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PLoS ONE, 2023 Currently, the deep integration of the Internet of Things (IoT) and edge computing has improved the computing capability of the IoT perception layer.
Yongli Xing +5 more
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Evidence-Aware Mobile Computational Offloading [PDF]
IEEE Transactions on Mobile Computing, 2018 Computational offloading can improve user experience of mobile apps through improved responsiveness and reduced energy footprint. A fundamental challenge in offloading is to distinguish situations where offloading is beneficial from those where it is counterproductive.
Flores, Huber +9 more
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Qubahan 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
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Context-aware multi-user offloading in mobile edge computing: A federated learning-based approach
, 2021 Mobile edge computing (MEC) provides an effective solution to help the Internet of Things (IoT) devices with delay-sensitive and computation-intensive tasks by offering computing capabilities in the proximity of mobile device users.
Farahbakhsh, Fariba +4 more
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Applied Sciences, 2020 With the development of the Internet of Things (IoT), the amount of data is growing and becoming more diverse. There are several problems when transferring data to the cloud, such as limitations on network bandwidth and latency.
Jieun Kang +4 more
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Offloading Cognition onto Cognitive Technology [PDF]
, 2008 "Cognizing" (e.g., thinking, understanding, and knowing) is a mental state. Systems without mental states, such as cognitive technology, can sometimes contribute to human cognition, but that does not make them cognizers.
Dror, I +5 more
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Edge Computing Offloading of Ultra-Dense Network Based on Game Theory and Heuristic Algorithm [PDF]
Jisuanji gongcheng, 2022 When an Ultra-Dense Network(UDN) is combined with edge computing, the distribution of high-density base stations may repeatedly cover the same user.The base station chosen by the user for offloading affects the system's performance, which leads to the ...
LIU Zhenpeng, GUO Chao, WANG Shilei, CHEN Jie, LI Xiaofei
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Energies, 2022 Edge devices and their associated computing techniques require energy efficiency to improve sustainability over time. The operating edge devices are timed to swap between different states to achieve stabilized energy efficiency. This article introduces a
Vishnu Kumar Kaliappan +7 more
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