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Review:Data center network architecture in cloud computing:review, taxonomy, and open research issues

Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第9期15卷 776-793页

作者： Han QI Muhammad SHIRAZ Jie-yao LIU Abdullah GANI Zulkanain ABDUL RAHMAN Torki A.ALTAMEEM mobile cloud computing research Lab Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala Lumpur 50603 Malaysia Department of History Faculty of Arts and Social Sciences University of MalayaKuala Lumpur 50603 Malaysia Department of Computer Science Riyadh Community College King Saud UniversityRiyadh 11533 Saudi Arabia

The data center network(DCN), which is an important component of data centers, consists of a large number of hosted servers and switches connected with high speed communication links. A DCN enables the deployment of resources centralization and on-demand access of the information and services of data centers to users. In recent years, the scale of the DCN has constantly increased with the widespread use of cloud-based services and the unprecedented amount of data delivery in/between data centers, whereas the traditional DCN architecture lacks aggregate bandwidth, scalability, and cost effectiveness for coping with the increasing demands of tenants in accessing the services of cloud data centers. Therefore, the design of a novel DCN architecture with the features of scalability, low cost, robustness, and energy conservation is required. This paper reviews the recent research findings and technologies of DCN architectures to identify the issues in the existing DCN architectures for cloud computing. We develop a taxonomy for the classification of the current DCN architectures, and also qualitatively analyze the traditional and contemporary DCN architectures. Moreover, the DCN architectures are compared on the basis of the significant characteristics, such as bandwidth, fault tolerance, scalability, overhead, and deployment cost. Finally, we put forward open research issues in the deployment of scalable, low-cost, robust, and energy-efficient DCN architecture, for data centers in computational clouds.

关键词： Data center network cloud computing Architecture Network topology

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Modification of Maxwell model for conductivity prediction of carbon nanotubes-filled polymer composites with tunneling effect

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 25-36页

作者： Jue ZHU Longyuan LI Ningtao ZHU Zhejiang Provincial Engineering research center for the Safety of Pressure Vessel and Pipeline Key Laboratory of Impact and Safety Engineering (Ningbo University) Ministry of Education School of Engineering Computing and Mathematics University of Plymouth Xi'an Zhanshi Testing & Engineering Co.Ltd.

Carbon nanotubes(CNTs) have garnered great attention in recent years due to their outstanding electrical, thermal, and mechanical properties. The incorporation of small amounts of CNTs in polymers can substantially improve the sensitivity of the polymer's electrical conductivity. This paper presents a modified Maxwell model to evaluate the electrical conductivity of CNTs-filled polymer composites by introducing a transition zone to account for the tunneling effect. In this modified Maxwell model, the CNTs-filled polymer composite is modeled as a three-phase composite, consisting of a matrix(polymer), inclusions(CNTs), and a transition zone(tunneling zone). The effective electrical conductivity(EEC) of the composite is calculated based on the volume fractions and electrical conductivities of the matrix, inclusions, and transition zone. The model's validity is confirmed through the use of available test data, which demonstrates its capability to accurately capture the nonlinear conductivity behavior observed in CNTs-polymer composites. This study offers valuable insights into the design of high-performance conductive polymer nanocomposites, and enhances the understanding of electrical conduction mechanisms in CNT-dispersed polymer composites.

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Gibbs sampling based distributed OFDMA resource allocation

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Science China(Information Sciences) 2014年第4期57卷 18-29页

作者： GARCIA Virgile CHEN Chung Shue ZHOU YiQing SHI JingLin Wireless Technology research center Institute of Computing Technology Chinese Academy of Sciences Beijing Key Laboratory of mobile computing and Pervasive Device

In this article,we present a distributed resource and power allocation scheme for multiple-resource wireless cellular *** global optimization of multi-cell multi-link resource allocation problem is known to be NP-hard in the general *** use Gibbs sampling based algorithms to perform a distributed optimization that would lead to the global optimum of the *** objective of this article is to show how to use the Gibbs sampling(GS)algorithm and its variant the Metropolis-Hastings(MH)*** also propose an enhanced method of the MH algorithm,based on a priori known target state distribution,which improves the convergence speed without increasing the ***,we study different temperature cooling strategies and investigate their impact on the network optimization and convergence *** results have also shown the effectiveness of the proposed methods.

关键词： radio resource allocation power control interference management distributed optimization Gibbs sampling Metropolis-Hastings

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A novel secure group RFID authentication protocol

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The Journal of China Universities of Posts and Telecommunications 2014年第1期21卷 94-103页

作者： GUO Cong ZHANG Zi-jian ZHU Lie-huang TAN Yu-an YANG Zhen Beijing Engineering research center of Massive Language Information Processing and cloud computing Application School of ComputerBeijing Institute of Technology

The trend of researching group radio frequency identification devices（RFID） authentication protocol has become increasingly popular in recent years. One of the newest work in this area is from Batina and Lee, they presented a privacy-preserving multi-players grouping-proof protocol based on the elliptic curve cryptography（ECC）, and claimed their protocol have the ability to resist five potential attacks, including compromised tag attack, man-in-the-middle attack, colluding tags attack, etc. In this paper, we first take a counterexample to demonstrate their protocol is vulnerable to compromised tag attack. Then we propose a novel secure RFID authentication protocol, and analyze its security by merging formal analysis, provable security, and mathematical inductive method, so as to solve the weakness of Batina and Lee＇s work. Furthermore, compared with another two classic protocols（secure ownership transfer protocol（SOTP） and secure multiple group ownership transfer protocol（SMGOTP））, the performance analysis show that our protocol provides not only a lower tags＇ communication cost at about 50.0% and 14.3%, but also a lower reader＇s computation cost（approximate 14.5% and 55.1% respectively）, when transferring a large number of tags.

关键词： group RFID authentication compromised attack elliptic curve RFID internet of things(IOT)

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A novel unsupervised method for new word extraction

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Science China(Information Sciences) 2016年第9期59卷 11-21页

作者： Lili MEI Heyan HUANG Xiaochi WEI Xianling MAO Beijing Engineering research center of High Volume Language Information Processing and cloud computing Applications Department of Computer Science and TechnologyBeijing Institute of Technology

New words could benefit many NLP tasks such as sentence chunking and sentiment analysis. However, automatic new word extraction is a challenging task because new words usually have no fixed language pattern, and even appear with the new meanings of existing words. To tackle these problems, this paper proposes a novel method to extract new words. It not only considers domain specificity, but also combines with multiple statistical language knowledge. First, we perform a filtering algorithm to obtain a candidate list of new words. Then, we employ the statistical language knowledge to extract the top ranked new words. Experimental results show that our proposed method is able to extract a large number of new words both in Chinese and English corpus, and notably outperforms the state-of-the-art methods. Moreover, we also demonstrate our method increases the accuracy of Chinese word segmentation by 10% on corpus containing new words.

关键词： new word extraction word segmentation domain specificity statistical language knowledge domain word extraction

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Single-cell omics: experimental workflow, data analyses and applications

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Science China Life Sciences 2025年第1期68卷 5-102页

作者： Fengying Sun Haoyan Li Dongqing Sun Shaliu Fu Lei Gu Xin Shao Qinqin Wang Xin Dong Bin Duan Feiyang Xing Jun Wu Minmin Xiao Fangqing Zhao Jing-Dong J.Han Qi Liu Xiaohui Fan Chen Li Chenfei Wang Tieliu Shi Department of Clinical Laboratory the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City) Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang University Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University) Ministry of EducationOrthopaedic DepartmentTongji HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Frontier Science center for Stem Cells School of Life Sciences and TechnologyTongji University Translational Medical center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University research Institute of Intelligent computing Zhejiang Lab Shanghai research Institute for Intelligent Autonomous Systems center for Single-cell Omics School of Public HealthShanghai Jiao Tong University School of Medicine National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang University center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Beijing Institutes of Life Science Chinese Academy of Sciences Peking-Tsinghua center for Life Sciences Academy for Advanced Interdisciplinary StudiesCenter for Quantitative Biology (CQB)Peking University Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases Women's HospitalZhejiang University School of Medicine Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal University

Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome,proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial sc RNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field,offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.

关键词： single-cell sequencing genome epigenome proteomics metabolomics multimodal spatial transcriptomics CRISPR screening

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A Latent Entity-Document Class Mixture of Experts Model for Cumulative Citation Recommendation

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Tsinghua Science and Technology 2018年第6期23卷 660-670页

作者： Lerong Ma Lejian Liao DANDan Song Jingang Wang Engineering research center of High Volume Language Information Processing and cloud computing Applications Beijing Institute of Technology College of Mathematics and Computer Science Yan'an University

Knowledge Bases （KBs） are valuable resources of human knowledge which contribute to many applications. However, since they are manually maintained, there is a big lag between their contents and the upto-date information of entities. Considering a target entity in KBs, this paper investigates how Cumulative Citation Recommendation （CCR） can be used to effectively detect its worthy-citation documents in large volumes of stream data. Most global relevant models only consider semantic and temporat features of entity-document instances, which does not sufficiently exploit prior knowledge underlying entity-document instances. To tackle this problem, we present a Mixture of Experts （ME） model by introducing a latent layer to capture relationships between the entity-document instances and their latent class information. An extensive set of experiments was conducted on TREC-KBA-2013 dataset. The results show that the model can significantly achieve a better performance gain compared to state-of-the-art models in CCR.

关键词： knowledge base acceleration cumulative citation recommendation Mixture of Experts (ME) LatentEntity-Document Classes (LEDCs)

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Transceiver designs with matrix-version water-filling architecture under mixed power constraints

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Science China(Information Sciences) 2016年第10期59卷 169-180页

作者： Chengwen XING Zesong FEI Yiqing ZHOU Zhengang PAN Hualei WANG School of Information and Electronics Beijing Institute of Technology Wireless Communication research center Institute of Computing TechnologyChinese Academy of Sciences China mobile research Institute

In this paper, we investigate the multiple-input multiple-output(MIMO) transceiver design under an interesting power model named mixed power constraints. In the considered power model, several antenna subsets are constrained by sum power constraints while the other antennas are subject to per-antenna power constraints. This kind of transceiver designs includes both the transceiver designs under sum power constraint and per-antenna power constraint as its special cases. This kind of designs is of critical importance for distributed antenna systems(DASs) with heterogeneous remote radio heads(RRHs) such as cloud radio access networks(C-RANs). In our work, we try to solve the optimization problem in an analytical way instead of using some famous software packages e.g., CVX or Se Du Mi. In our work, to strike tradeoffs between performance and complexity, both iterative and non-iterative solutions are proposed. Interestingly the non-iterative solution can be interpreted as a matrix-version water-filling solution extended from the well-known and extensively studied vector version. Finally, simulation results demonstrate the accuracy of our theoretical results.

关键词： convex optimization MIMO matrix-version water-filling transceiver designs mix power constraints

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Load diversity based optimal processing resource allocation for super base stations in centralized radio access networks

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Science China(Information Sciences) 2014年第4期57卷 30-41页

作者： ZHAI GuoWei TIAN Lin ZHOU YiQing SHI JingLin Wireless Technology research center Institute of Computing Technology Chinese Academy of Science Key Laboratory of mobile computing and Pervasive Device University of Chinese Academy of Sciences

To reduce construction cost and energy consumption of cellular networks,the centralized radio access cellular network infrastructure with a Super BS(CSBS)architecture has been *** CSBS architecture has the advantage that the centralized processing resource can be flexibly ***,the problem of low processing resource efficiency caused by load discrepancy of base stations still exists and the processing resource allocation methods for physical layer processing are not suitable for protocol *** this article,a framework for protocol processing resource management is designed and a load diversity based processing resource allocation(LDA)algorithm is proposed,which employs dynamic programming with the consideration of load ***,to support large mumber of BSs,a suboptimal algorithm hybrid load diversity based processing resource allocation(H-LDA)is also *** results show that LDA and H-LDA algorithm significantly outperforms the conventional methods,respectively,by more than 60%and 55%in the processing resource efficiency and the performance gap grows with the increasing BS number.

关键词： processing resource load diversity virtual base station protocol processing server dynamic programming

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Scalable protocol for cross-domain group password-based authenticated key exchange

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Frontiers of Computer Science 2015年第1期9卷 157-169页

作者： Cong GUO Zijian ZHANG Liehuang ZHU Yu-an TAN Zhen YANG Beijing Engineering research center of Massive Language Information Processing and cloud computing Application School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

Cross-domain password-based authenticated key exchange （PAKE） protocols have been studied for many years. However, these protocols are mainly focusing on multi-participant within a single domain in an open network environment. This paper proposes a novel approach for designing a cross-domain group PAKE protocol, that primarily handles with the setting of multi-participant in the multi- domain. Moreover, our protocol is proved secure against active adversary in the Real-or-Random （ROR） model. In our protocol, no interaction occurs between any two domain authentication servers. They are regarded as ephemeral certificate authorities （CAs） to certify key materials that participants might subsequently use to exchange and agree on group session key. We further justify the computational complexity and measure the average computation time of our protocol. To the best of our knowledge, this is the first work to analyze and discuss a provably secure multi-participant cross-domain group PAKE protocol.

关键词： cross-domain password-based authenticated key exchange (PAKE) group key exchange Real-Or-Random (ROR) model provable secure

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