Internal Clock Drift Estimation in Computer Clusters by Hicham Marouani, Michel R. Dagenais

“…When tracing the low-level system events in computer clusters, such as packet sending or reception, each computer system records its own events using an internal clock. …”
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Iterative reconstruction of medical phantoms on the computing cluster of EAGLE by S. A. Zolotarev, T. A. Taruat, E. G. Bilenko

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Modeling of the Graf-dynamic machine architecture with computing cluster by M. M. Tatur

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Method of load balancing for computer cluster of data processing center by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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METHOD OF LOAD BALANCING FOR COMPUTER CLUSTER OF DATA PROCESSING CENTER by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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MATHEMATICAL MODEL OF RESOURCE DISTRIBUTION OF THE COMPUTING CLUSTER OF CLOUD DATA CENTERS by V. P. Mochalov, G. I. Linets, N. Y. Bratchenko, I. S. Palkanov

Subjects: “…computing clusters…”
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A data and knowledge-driven practice for ensuring stability in ultra-large intelligent computing clusters by NIU Hongweihua, HUANG Yongbao, DING Guoqiang, HUANG Bao, ZHAO Zhiwen, XU Yang, WANG Tao, ZHANG Ruiling, WANG Xuan, ZHANG Yixiang

Subjects: “…intelligent computing cluster…”
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Scheduling strategy for achieving locality in cluster by Ping GUO, Li-jiang NING, Hai-zhu CHEN

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A high-speed interconnection mechanism based on multi-hosts memory mapping by ZHANG Anqi, ZHANG Libin

Subjects: “…pcie|computing cluster|ntb|rdma…”
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INTELLIGENT DATA ANALYSIS AND CLOUD COMPUTING by M. M. Tatur, M. M. Lukashevich, D. Y. Pertsev, N. A. Iskra

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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters by Peng Li, Chen Qing, Hao Liu

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BIG DATA: PROBLEMS OF TECHNOLOGY PROCESSING AND STORAGE by Vladimir Feokharovich Antonov, Roman Ajdinovich Mamedov

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Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

Subjects: “…Cloud Computing, Clustering, Energy Efficient Heterogeneous Clustering Algorithm (EEHCA), Fog Computing, Security, Internet of Things (IoT), Metaheuristic Algorithms, Wireless Sensor Network (WSN)…”
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Dynamic load balancing algorithm based on queuing theory comprehensive index evaluation by Wenbo WANG, Qingwei YE, Yu ZHOU, Zhihua LU

“…Internet communication,computer cluster and cloud environment have complex and dynamic characteristics,which can cause load imbalance easily,reduce the service efficiency and increase the energy consumption.Therefore,the load balancing technology becomes the focus of research.The existing load balancing strategy uses the occupancy of CPU,memories,processes to estimate the current load of each server.But it is hard to guarantee its accuracy.Aiming at this problem,a dynamic load balancing algorithm based on queuing theory comprehensive index evaluation was proposed.Firstly,queuing theory model was introduced to estimate the real-time load of each server,and then the tasks of input queue was distributed to each server separately according to the load comprehensive index of each server.Experimental results show that this method can balance the load of each server effectively and reduce the average waiting time of the task requests,which is of great application value.…”
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ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing. by Sergey G Aleksin, Kaiyu Zheng, Dmitri A Rusakov, Leonid P Savtchenko

“…The interface can control, through the internet, an optimized computational kernel installed on a remote computer cluster. ARACHNE can combine neuronal (wired) and astroglial (extracellular volume-transmission driven) network types and adopt realistic cell models from the NEURON library. …”
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An MPI-OpenMP Hybrid Parallel H-LU Direct Solver for Electromagnetic Integral Equations by Han Guo, Jun Hu, Zaiping Nie

“…The parallel method of our direct solver features both OpenMP shared memory programming and MPl message passing for running on a computer cluster. With modifications to the core direct-solving algorithm of hierarchical LU factorization, the new fast solver is scalable for parallelized implementation despite of its sequential nature. …”
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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…To identify the characteristics of professional development, a computer cluster analysis of texts was carried out using the K-means method of clustering. …”
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COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results by C. D. Tremblay, J. Sofair, L. Steffes, T. Myburgh, D. Czech, P. B. Demorest, R. A. Donnachie, A. W. Pollak, M. Ruzindana, Siemion A. P. V., S. S. Varghese, S. Z. Sheikh

“…We have built a digital signal processing system and computer cluster on the backend of the Karl G. Jansky Very Large Array (VLA) in New Mexico in order to search for signals throughout the Galaxy consistent with our understanding of artificial radio emissions. …”
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Research on optimization of storage system in intelligent computing center by CAO Yuanming, LEI Ming, LIU Qin, NIU Yingxia, WU Zhenyu, PAN Jie

“…To address the above issues and provide a unified namespace for the intelligent computing clusters, a file and object converged storage and a hierarchical file storage scheme were proposed to solve the problem of data transfer between different storage protocols and enable automatic data flow between high-performance file storage (all SSD) and ordinary-performance file storage (SSD and HDD), providing a reference for the optimization of storage systems of ultra-large-scale intelligent computing clusters.…”
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An ICN-Based Delay-Sensitive Service Scheduling Architecture with Stateful Programmable Data Plane for Computing Network by Ranran Wei, Rui Han

“…The network nodes are first layered based on the type of computing clusters they are linked with, and then within each layer, they are divided into several domains according to delay constraints. …”
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