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Computing Power Network:A Survey

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China Communications 2024年第9期21卷 109-145页

作者： Sun Yukun Lei Bo Liu Junlin Huang Haonan Zhang Xing Peng Jing Wang Wenbo School of Information and Communications Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Research Institute of China telecom Co. Ltd.Beijing 102209China Beijing Branch of China telecom Co. Ltd.Beijing 100032China

With the rapid development of cloud computing,edge computing,and smart devices,computing power resources indicate a trend of ubiquitous *** traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island *** overcome these problems and improve network efficiency,a new network computing paradigm is proposed,i.e.,Computing Power Network(CPN).Computing power network can connect ubiquitous and heterogenous computing power resources through networking to realize computing power scheduling *** this survey,we make an exhaustive review on the state-of-the-art research efforts on computing power *** first give an overview of computing power network,including definition,architecture,and ***,a comprehensive elaboration of issues on computing power modeling,information awareness and announcement,resource allocation,network forwarding,computing power transaction platform and resource orchestration platform is *** computing power network testbed is built and *** applications and use cases in computing power network are ***,the key enabling technologies for computing power network are ***,open challenges and future research directions are presented as well.

关键词： computing power modeling computing power network computing power scheduling information awareness network forwarding

A Detailed Thermal Resistance Network Analysis of FCBGA Package

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Journal of Thermal Science 2024年第1期33卷 18-28页

作者： DANG Hao LU Yang DU Yanzheng ZHANG Xiu ZHANG Qian MA Weigang ZHANG Xing Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Engineering MechanicsTsinghua UniversityBeijing 100084China Zhongxing telecom Equipment Corporation Shanghai 201203China

Using thermal models to describe the heat dissipation process of FCBGA is a significant topic in the field of ***,the thermal resistance model considering the structure of each part of the chip is still ambiguous and rare,but it is quite desirable in *** this work,we propose a detailed thermal resistance network model,and describe it by using thermal conduction resistance and thermal spreading *** a striking FCBGA case,we calculated the thermal resistance of each part of the structure according to the temperature field simulated by *** thermal resistance network can be used to predict the temperatures in the chip under different *** example,when the power changes by 40%,the relative error of junction temperature prediction is only 0.24%.The function of the detailed thermal resistance network in evaluating the optimization space and determining the optimization direction is *** work illustrates a potential thermal resistance analysis method for electronic devices such as FCBGA.

关键词： FCBGA package thermal resistance network thermal spreading resistance junction temperature

Analytical solutions for full-field radiations of magnetoelectric antennas with nonlinear magnetoelastic coupling

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Acta Mechanica Sinica 2024年第7期40卷 109-121页

作者： Baoxin Lei Zhixiong You Zhidong Zhang Yang Shi Research Center for Applied Mechanics School of Mechano-Electronic EngineeringXidian UniversityXi'an 710071China China telecom WanWei Information Technology Co. Ltd.Lanzhou 730010China

This paper presents analytical solutions for full-field radiation in magnetoelectric(ME)antennas,considering a fully magnetoelastic coupled constitutive relation.A nonlinear converse ME coupling model is established,incorporating mechanical,electric,and magnetic variables with generalized Maxwell *** model emphasizes the essence of ME antennas,where radiation is achieved through strain/stress-mediated coupling between different *** magnetic flux density and electric displacement obtained from the model are used as sources to solve the full-field radiations of ME *** proposed model is validated through existing experiments and simulations,demonstrating that the radiation performance of ME antennas is strongly influenced by nonlinear magneto-elastic *** material parameters and magnetic bias significantly impact the magnetic flux density and far-field radiation due to the nonlinear magnetization *** study reveals the mechanisms behind enhanced working bandwidth and frequency tuning by examining the frequency response of the radiation impedance with material *** adjusting the initial magnetization rate,saturation magnetostriction,and saturation magnetization,the radiation efficiency/gain can be increased by 340%,108%,and 112%*** model enhances our understanding of the full-field radiation of ME antennas and provides a foundation for designing tunable ME antennas.

关键词： ME antenna Full-field radiation Magneto-elastic coupling Radiation patterns

Communication efficiency optimization of federated learning for computing and network convergence of 6G networks

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Frontiers of Information Technology & Electronic Engineering 2024年第5期25卷 713-727页

作者： Yizhuo CAI Bo LEI Qianying ZHAO Jing PENG Min WEI Yushun ZHANG Xing ZHANG Wireless Signal Processing and Network Laboratory Beijing University of Posts and TelecommunicationsBeijing 100876China Research Institute of China telecom Co. Ltd.Beijing 102209China Beijing telecom Beijing 100011China

Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global ***,factors such as network topology and computing power of devices can affect its training or communication process in complex network *** and network convergence(CNC)of sixth-generation(6G)networks,a new network architecture and paradigm with computing-measurable,perceptible,distributable,dispatchable,and manageable capabilities,can effectively support federated learning training and improve its communication *** guiding the participating devices'training in federated learning based on business requirements,resource load,network conditions,and computing power of devices,CNC can reach this *** this paper,to improve the communication eficiency of federated learning in complex networks,we study the communication eficiency optimization methods of federated learning for CNC of 6G networks that give decisions on the training process for different network conditions and computing power of participating *** simulations address two architectures that exist for devices in federated learning and arrange devices to participate in training based on arithmetic power while achieving optimization of communication efficiency in the process of transferring model *** results show that the methods we proposed can cope well with complex network situations,effectively balance the delay distribution of participating devices for local training,improve the communication eficiency during the transfer of model parameters,and improve the resource utilization in the network.

关键词： Computing and network convergence Communication efficiency Federated learning Two architectures

NFA:A neural factorization autoencoder based online telephony fraud detection

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Digital Communications and Networks 2024年第1期10卷 158-167页

作者： Abdul Wahid Mounira Msahli Albert Bifet Gerard Memmi Department of Computer Sciences and Networks(INFRES) LTCITelecom ParisInstitut Polytechnique de ParisPalaiseau91120France Artificial Intelligence Institute The University of WaikatoPrivate Bag 31053240HamiltonNew Zealand

The proliferation of internet communication channels has increased telecom fraud,causing billions of euros in losses for customers and the industry each *** constantly find new ways to engage in illegal activity on the *** reduce these losses,a new fraud detection approach is *** fraud detection involves identifying a small number of fraudulent calls from a vast amount of call *** an effective strategy to combat fraud has become *** much effort has been made to detect fraud,most existing methods are designed for batch processing,not real-time *** solve this problem,we propose an online fraud detection model using a Neural Factorization Autoencoder(NFA),which analyzes customer calling patterns to detect fraudulent *** model employs Neural Factorization Machines(NFM)and an Autoencoder(AE)to model calling patterns and a memory module to adapt to changing customer *** evaluate our approach on a large dataset of real-world call detail records and compare it with several state-of-the-art *** results show that our approach outperforms the baselines,with an AUC of 91.06%,a TPR of 91.89%,an FPR of 14.76%,and an F1-score of 95.45%.These results demonstrate the effectiveness of our approach in detecting fraud in real-time and suggest that it can be a valuable tool for preventing fraud in telecommunications networks.

关键词： telecom industry Streaming anomaly detection Fraud analysis Factorization machine Real-time system Security

A Trust Evaluation Mechanism Based on Autoencoder Clustering Algorithm for Edge Device Access of IoT

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Computers, Materials & Continua 2024年第2期78卷 1881-1895页

作者： Xiao Feng Zheng Yuan Cyber Security Academy Beijing University of Posts and TelecommunicationsBeijing100876China Department of Cyberspace Security Beijing Electronic Science and Technology InstituteBeijing100070China State Grid Info-telecom Great Power Science and Technology Co. Ltd.Beijing102211China

First,we propose a cross-domain authentication architecture based on trust evaluation mechanism,including registration,certificate issuance,and cross-domain authentication processes.A direct trust evaluation mechanism based on the time decay factor is proposed,taking into account the influence of historical interaction *** weight the time attenuation factor to each historical interaction record for updating and got the new historical record *** refer to the beta distribution to enhance the flexibility and adaptability of the direct trust assessment model to better capture time trends in the historical *** we propose an autoencoder-based trust clustering *** perform feature extraction based on *** leibler(KL)divergence is used to calculate the reconstruction *** constructing a convolutional autoencoder,we introduce convolutional neural networks to improve training efficiency and introduce sparse constraints into the hidden layer of the *** sparse penalty term in the loss function measures the difference through the KL *** clustering is performed based on the density based spatial clustering of applications with noise(DBSCAN)clustering *** the clustering process,edge nodes have a variety of trustworthy attribute *** assign different attribute weights according to the relative importance of each attribute in the clustering process,and a larger weight means that the attribute occupies a greater weight in the calculation of ***,we introduced adaptive weights to calculate comprehensive trust *** experiments prove that our trust evaluation mechanism has excellent reliability and accuracy.

关键词： Cross-domain authentication trust evaluation autoencoder

An Opposition-Based Learning-Based Search Mechanism for Flying Foxes Optimization Algorithm

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Computers, Materials & Continua 2024年第6期79卷 5201-5223页

作者： Chen Zhang Liming Liu Yufei Yang Yu Sun Jiaxu Ning Yu Zhang Changsheng Zhang Ying Guo Software College Northeastern UniversityShenyang110169China School of Information Science and Engineering Shenyang Ligong UniversityShenyang110159China China telecom Digital Intelligence Technology Co. Ltd.Beijing100035China College of Computer Science and Engineering Ningxia Institute of Science and TechnologyShizuishan753000China

The flying foxes optimization(FFO)algorithm,as a newly introduced metaheuristic algorithm,is inspired by the survival tactics of flying foxes in heat wave *** preferentially selects the best-performing *** tendency will cause the newly generated solution to remain closely tied to the candidate optimal in the search *** address this issue,the paper introduces an opposition-based learning-based search mechanism for FFO algorithm(IFFO).Firstly,this paper introduces niching techniques to improve the survival list method,which not only focuses on the adaptability of individuals but also considers the population’s crowding degree to enhance the global search ***,an initialization strategy of opposition-based learning is used to perturb the initial population and elevate its ***,to verify the superiority of the improved search mechanism,IFFO,FFO and the cutting-edge metaheuristic algorithms are compared and analyzed using a set of test *** results prove that compared with other algorithms,IFFO is characterized by its rapid convergence,precise results and robust stability.

关键词： Flying foxes optimization(FFO)algorithm opposition-based learning niching techniques swarm intelligence metaheuristics evolutionary algorithms

Joint Allocation of Computing and Connectivity Resources in Survivable Inter-Datacenter Elastic Optical Networks

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China Communications 2024年第8期21卷 172-181页

作者： Yang Tao Li Yang Chen Xue State Key Lab of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China Cloud Network Department China Telecom Group Beijing CorporationBeijing 100010China

Inter-datacenter elastic optical networks(EON)need to provide the service for the requests of cloud computing that require not only connectivity and computing resources but also network *** this paper,to realize joint allocation of computing and connectivity resources in survivable inter-datacenter EONs,a survivable routing,modulation level,spectrum,and computing resource allocation algorithm(SRMLSCRA)algorithm and three datacenter selection strategies,*** Resource First(CRF),Shortest Path First(SPF)and Random Destination(RD),are proposed for different *** and manycast are applied to the communication of computing requests,and the routing strategies are calculated *** results show that SRMLCRA-CRF can serve the largest amount of protected computing tasks,and the requested calculation blocking probability is reduced by 29.2%,28.3%and 30.5%compared with SRMLSCRA-SPF,SRMLSCRA-RD and the benchmark EPS-RMSA algorithms ***,it is more applicable to the networks with huge ***,SRMLSCRA-SPF consumes the least spectrum,thereby exhibiting its suitability for scenarios where the amount of calculation is small and communication resources are *** results demonstrate that the proposed methods realize the joint allocation of computing and connectivity resources,and could provide efficient protection for services under single-link failure and occupy less spectrum.

关键词： computing and connectivity interdatacenter networks joint resource allocation service protection

Robust polarimetric dehazing algorithm based on low-rank approximation and multiple virtual-exposure fusion

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Photonics Research 2024年第8期12卷 1640-1653页

作者： YIFU ZHOU HANYUE WEI JIAN LIANG FEIYA MA RUI YANG LIYONG REN XUELONG LI School of Physics and Information Technology Shaanxi Normal UniversityXi’an 710119China Xi’an Key Laboratory of Optical Information Manipulation and Augmentation(OMA) Xi’an 710119China Robust(Xixian New Area)Opto-Electro Technologies Co. Ltd.Xi’an 712000China Institute of Artificial Intelligence(TeleAI) China Telecom Corp Ltd.Beijing 100033China

Polarimetric dehazing is an effective way to enhance the quality of images captured in foggy ***,images of essential polarization parameters are vulnerable to noise,and the brightness of dehazed images is usually unstable due to different environmental *** two weaknesses reveal that current polarimetric dehazing algorithms are not robust enough to deal with different *** paper proposes a novel,to our knowledge,and robust polarimetric dehazing algorithm to enhance the quality of hazy images,where a low-rank approximation method is used to obtain low-noise polarization parameter ***,in order to improve the brightness stability of the dehazed image and thus keep the image have more details within the standard dynamic range,this study proposes a multiple virtual-exposure fusion(MVEF)scheme to process the dehazed image(usually having a high dynamic range)obtained through polarimetric *** experiments show that the proposed dehazing algorithm is robust and effective,which can significantly improve overall quality of hazy images captured under different environments.

关键词： algorithm approximation image