Research on elite hierarchical task offloading strategy based on reinforcement learning in edge-cloud collaboration scenario by Juan FANG, Zhiyuan YE, Mengyuan ZHANG, Jiamei SHI, Ziyi TENG

“…With the development of 5G and the enrichment of application functions, applications have put forward higher requirements on the computing capabilities of terminal devices.In order to improve the computing capabilities of terminal devices on applications and reduce the processing time of tasks, it is aimed at mobile edge computing environments, a task offloading method for edge-cloud collaboration was proposed，and an elite hierarchical evolutionary algorithm combined with reinforcement learning (RL-EHEA) was designed to perform offloading decisions, so that multiple tasks with dependencies and deadlines compete for computing resources.The simulation experiment results show that, compared with genetic algorithm (GA) and elite genetic algorithm (EGA), RL-EHEA can shorten task processing time and obtain better resource allocation strategy.…”
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Big data, big responsibilities by Primavera De Filippi

“…With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. …”
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Waveguide-Integrated Plasmonic Photodetectors and Activation Function Units With Phase Change Materials by Jacek Gosciniak

“…With a rapidly growing amount of data generated and processed, a search for more efficient components and architectures such as neuromorphic computing that can perform increasingly complex operations in more efficient way continue. …”
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Foveal vision reduces neural resources in agent-based game learning by Runping Chen, Gerd J. Kunde, Louis Tao, Louis Tao, Andrew T. Sornborger

“…Efficient processing of information is crucial for the optimization of neural resources in both biological and artificial visual systems. …”
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Adoption of Industry 4.0 Technologies in Chilean Mining: A Comparative Analysis Between Sectors by Mauricio Castillo-Vergara, Rodrigo Ortiz-Henríquez, Cristian Geldes, Víctor Muñoz-Cisterna, Claudio Escobar-Arriagada

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Optimal Task Offloading Strategy for Vehicular Networks in Mixed Coverage Scenarios by Xuewen He, Yuhao Cen, Yinsheng Liao, Xin Chen, Chao Yang

“…In this paper, we introduce an optimal task offloading strategy under congested conditions, which is facilitated by a mixed coverage scenario with both 5G base stations and RSUs with the aim of enhancing the efficiency of computing resource utilization and reducing the task processing delay. …”
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Unraveling the Roles of Switching and Relaxation Times in Volatile Electrochemical Memristors to Mimic Neuromorphic Dynamical Features by Mrinmoy Dutta, Stefano Brivio, Sabina Spiga

“…Abstract Computing through ensembles of interacting dynamical elements is the next frontier of the diverse field of neuromorphic computing. …”
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Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding by Yu Song, Yu Song, Liyuan Han, Tielin Zhang, Bo Xu, Bo Xu

“…Spiking Neural Networks (SNNs), with their neuronal dynamics and spike-based signal processing, are inherently well-suited for this task. …”
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INTELLIGENT MULTI-AGENT PLATFORM WITHIN COLLABORATIVE NETWORKED ENVIRONMENT by Adina-Georgeta CREŢAN

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Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges by Fabio Diniz Rossi, Paulo Silas Severo de Souza, Marcelo Caggiani Luizelli

“…Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. …”
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Edge-Deployed Band-Split Rotary Position Encoding Transformer for Ultra-Low-Signal-to-Noise-Ratio Unmanned Aerial Vehicle Speech Enhancement by Feifan Liu, Muying Li, Luming Guo, Hao Guo, Jie Cao, Wei Zhao, Jun Wang

“…DCUNet), a runtime memory footprint of under 500MB, a Real-Time Factor (RTF) of 0.325 (latency: 330.830 ms), and a power consumption of 6.536 W on an NVIDIA Jetson AGX Xavier, fulfilling real-time processing demands. This study delivers a validated lightweight solution, exemplified by its minimal computational overhead and real-time edge inference capability, for effective speech enhancement in complex UAV acoustic scenarios, including dynamic noise conditions. …”
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Next-Value Prediction of Beam Waists From Mixed Pitch Grating Using Simplified Transformer Model by Yu Dian Lim, Peng Zhao, Luca Guidoni, Jean-Pierre Likforman, Chuan Seng Tan

“…Then, we used a sequence of the current beam waist values, z-positions, and the computed mathematical indicators (features) to predict the next beam waist value (labels). …”
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Approach to keyword search over encrypted data in cloud by Peng ZHANG, Yan LI, Hai-lun LIN, Rong YANG, Qing-yun LIU

“…With the advent of cloud computing,large-scale data are being increasingly outsourced to the cloud.For the protection of data privacy,sensitive data has to be encrypted before outsourcing,which makes effective data utilization a very challenging task.Although traditional searchable encryption approaches allow users to search over encrypted data through keywords,they don’t capture any relevance of data files,so users have to spend much time on post-processing every retrieved file in order to find ones most matching their interest.Moreover,retrieving all files containing the queried keyword further incurs unnecessary network traffic,which is not accord with pay-as-you-use cloud paradigm.An approach to ranked keyword search over encrypted data in cloud is proposed.Ranked search greatly mitigate the user’s effort by returning the matching files in a ranked order,and also protects the data privacy by order-preserving encryption.Extensive experimental results demonstrate the efficiency.…”
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A node deployment and resource optimization method for CPDS based on cloud‐fog‐edge collaboration by Xiaoping Xiong, Geng Yang

“…In this article, fog computing is introduced into the computing network of the power distribution system, and a cloud‐fog‐edge collaborative computing architecture for intelligent power distribution networks is proposed. …”
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Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly. …”
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Quantum Communication Systems: Vision, Protocols, Applications, and Challenges by Syed Rakib Hasan, Mostafa Zaman Chowdhury, Mohammad Sayem, Yeong Min Jang

“…This review article describes the fundamentals of quantum communication, vision, design goals, information processing, and protocols. Besides, quantum communication system model is also proposed here. …”
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D3QN-based collaborative offloading algorithm for vehicular networks assisted by digital twins by CHEN Geng, SONG Zhenghan, XIA Conghui, ZENG Qingtian

“…To address the challenges of highly dynamic topologies, task diversity, and low-latency constraints in vehicular edge computing, a D3QN-based collaborative offloading algorithm assisted by digital twin technology was proposed. …”
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REACH: Extending reality for distributed collaborative making by Casey Smith, Mike Tissenbaum

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ONLINE-SERVICES AND INFORMATION TECHNOLOGIES IN DISTANCE LEARNING by U. A. Vishniakou, A. P. Kovalev

“…The content of e-learning online services including intellectual technologies and cloud computing are done. As new one integration method for DL is Semantic Web and Web-service (SWWS) with knowledge representation support on ontology base and knowledge processing on agents support are representation.…”
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