Relevant bibliographies by topics / Cluster File System

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cluster File System'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Cluster File System"

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Abhilisha Pandurang Bhalke. "Enhancement the Efficiency of Work with P2P System." International Journal for Modern Trends in Science and Technology 06, no. 09 (2020): 68–72. http://dx.doi.org/10.46501/ijmtst060911.

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The P2P system should be used Proximity information to minimize the load of file request and improve the efficiency of the work .Clustering peers for their physical proximity can also rise the performance of the request file. However, very few currently work in a peer group based on demands as peers on physical proximity. Although structured P2P provides more efficient files requests than unstructured P2P, it is difficult to apply because of their strictly defined topology. In this work, we intending to introduce a system for exchange a P2P file for proximity and level of interest based on str
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Karresand, Martin, Stefan Axelsson, and Geir Olav Dyrkolbotn. "Disk Cluster Allocation Behavior in Windows and NTFS." Mobile Networks and Applications 25, no. 1 (2019): 248–58. http://dx.doi.org/10.1007/s11036-019-01441-1.

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AbstractThe allocation algorithm of a file system has a huge impact on almost all aspects of digital forensics, because it determines where data is placed on storage media. Yet there is only basic information available on the allocation algorithm of the currently most widely spread file system; NTFS. We have therefore studied the NTFS allocation algorithm and its behavior empirically. To do that we used two virtual machines running Windows 7 and 10 on NTFS formatted fixed size virtual hard disks, the first being 64 GiB and the latter 1 TiB in size. Files of different sizes were written to disk
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Shekhanin, K. Yu, Yu I. Gorbenko, L. O. Gorbachova, and A. A. Kuznetsov. "Study of storage devices properties for steganographic data hiding in cluster file systems." Radiotekhnika, no. 203 (December 23, 2020): 109–20. http://dx.doi.org/10.30837/rt.2020.4.203.10.

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Methods for technical steganography have been developed in recent years. Hiding of information in such systems is achieved by using properties artificially created by human while constructing various technical means. An example of technical steganography is the application of the features of constructing clustered file systems. This makes it possible to hide information effectively by changing the alternation of individual clusters, the so-called сover files. The names of such files are the key information and it is extremely difficult to recover a hidden message without links (i.e. without na
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Shekhanin, Kirill, Lyudmila Gorbachova, and Kuznetsova Kuznetsova. "Comparative analysis and study of the properties of information carriers for steganographic data hiding in clustered file sys-tems." Computer Science and Cybersecurity, no. 1 (2021): 37–49. http://dx.doi.org/10.26565/2519-2310-2021-1-03.

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The paper studies and analyzes various modern information storage technologies, namely HDD, Flash-USB, SSD. We`ve analyzed different indicators such as the number of implemented products, price, speed of reading and writing. Besides, we`ve considered some indicators of the information carriers’ efficiency in terms of view of the possibility of using steganographic methods for hiding information in clustered file systems. It have been analyzed the speed of sequential reading / writing and the speed of access to a random cluster, corresponding to the speed of access to a fragmented file. For thi
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Awangga, Rolly Maulana, Syafrial Fachri Pane, and Cahya Kurniawan. "AMCF : A Novel Archive Modeling Based on Data Cluster and Filtering." Technomedia Journal 4, no. 2 (2019): 139–52. http://dx.doi.org/10.33050/tmj.v4i2.815.

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File archiving now needs to be appropriately managed so that it is easy to find and manage. File archiving in question is how to help in the process of finding data with a considerable number, to facilitate the work following the aim to reduce the time the search data can be integrated with the system created. Archiving itself aims to facilitate the management of data that is very diverse and with a large amount, to facilitate the management and also the control carried out. The problem with filing archives, in this case, is the lack of management regarding the correct filing of archives. Cont
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Shekhanin, K. Yu, S. V. Pshenichnaya, and A. A. Kuznetsov. "Investigation of the computational complexity of methods for hiding information in cluster steganosystems." Radiotekhnika, no. 206 (September 24, 2021): 77–87. http://dx.doi.org/10.30837/rt.2021.3.206.07.

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Several methods of technical steganography are currently known. Hiding information in a model in 3D printing, this industry of hiding information has certain advantages and disadvantages, namely: the relatively high cost of creating a hidden message and the difficulty in reading the information. The second area of technical steganography is related to network traffic. In this method, information can be hidden, for example, in the header fields of protocols, or, for example, the transmission of a hidden message by sending packets in a certain sequence. There are also methods of hiding informati
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ten Klooster, Iris, Matthijs Leendert Noordzij, and Saskia Marion Kelders. "Exploring How Professionals Within Agile Health Care Informatics Perceive Visualizations of Log File Analyses: Observational Study Followed by a Focus Group Interview." JMIR Human Factors 7, no. 1 (2020): e14424. http://dx.doi.org/10.2196/14424.

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Background An increasing number of software companies work according to the agile software development method, which is difficult to integrate with user-centered design (UCD) practices. Log file analysis may provide opportunities for integrating UCD practices in the agile process. However, research within health care information technology mostly has a theoretical approach and is often focused on the researcher’s interpretation of log file analyses. Objective We aimed to propose a systematic approach to log file analysis in this study and present this to developers to explore how they react an
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Gupta, Manish Kumar, and Rajendra Kumar Dwivedi. "Blockchain Enabled Hadoop Distributed File System Framework for Secure and Reliable Traceability." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 12 (December 29, 2023): e31478. http://dx.doi.org/10.14201/adcaij.31478.

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Hadoop Distributed File System (HDFS) is a distributed file system that allows large amounts of data to be stored and processed across multiple servers in a Hadoop cluster. HDFS also provides high throughput for data access. HDFS enables the management of vast amounts of data using commodity hardware. However, security vulnerabilities in HDFS can be manipulated for malicious purposes. This emphasizes the significance of establishing strong security measures to facilitate file sharing within Hadoop and implementing a reliable mechanism for verifying the legitimacy of shared files. The objective
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Amar, Lior, Amnon Barak, and Amnon Shiloh. "The MOSIX Direct File System Access Method for Supporting Scalable Cluster File Systems." Cluster Computing 7, no. 2 (2004): 141–50. http://dx.doi.org/10.1023/b:clus.0000018563.68085.4b.

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Maurya, Jay. "Contributions to Hadoop File System Architecture by Revising the File System Usage Along with Automatic Service." ECS Transactions 107, no. 1 (2022): 2903–10. http://dx.doi.org/10.1149/10701.2903ecst.

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The usage of unstructured data is becoming obvious by companies and social media is raised heavily from past decade. The sharing of images, audio, and video content by the individual user and corporate can be observed everywhere. The current work focused on the Hadoop framework revision contributions so as to improve the performance of the eco system in the context of space and time parameters. The architecture basically provides the usage of Hadoop Distributed File System (HDFS) and MapReduce (MR). We are proposing certain revision contributions so that the process of importing and processing
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Dissertations / Theses on the topic "Cluster File System"

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Lopes, Paulo Orlando Reis Afonso. "A shared-disk parallel cluster file system." Doctoral thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/2082.

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Dissertação apresentada para obtenção do Grau de Doutor em Informática Pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia<br>Today, clusters are the de facto cost effective platform both for high performance computing (HPC) as well as IT environments. HPC and IT are quite different environments and differences include, among others, their choices on file systems and storage: HPC favours parallel file systems geared towards maximum I/O bandwidth, but which are not fully POSIX-compliant and were devised to run on top of (fault prone) partitioned storage; conversely, IT data c
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D'Souza, Jude Clement. "KTHFS – A HIGHLY AVAILABLE ANDSCALABLE FILE SYSTEM." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-117918.

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KTHFS is a highly available and scalable file system built from the version 0.24 of the Hadoop Distributed File system. It provides a platform to overcome the limitations of existing distributed file systems. These limitations include scalability of metadata server in terms of memory usage, throughput and its availability. This document describes KTHFS architecture and how it addresses these problems by providing a well coordinated distributed stateless metadata server (or in our case, Namenode) architecture. This is backed with the help of a persistence layer such as NDB cluster. Its primary
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Patil, Swapnil. "Scale and Concurrency of Massive File System Directories." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/250.

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File systems store data in files and organize these files in directories. Over decades, file systems have evolved to handle increasingly large files: they distribute files across a cluster of machines, they parallelize access to these files, they decouple data access from metadata access, and hence they provide scalable file access for high-performance applications. Sadly, most cluster-wide file systems lack any sophisticated support for large directories. In fact, most cluster file systems continue to use directories that were designed for humans, not for large-scale applications. The former
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Neugebauer, Felix. "Application of Porter's Diamond Model for the Building Environment." St. Gallen, 2008. http://www.biblio.unisg.ch/org/biblio/edoc.nsf/wwwDisplayIdentifier/05610381001/$FILE/05610381001.pdf.

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De, Cristofaro Tiziano. "Gestione di dati scientifici tramite tracciamento degli eventi in file system distribuiti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23330/.

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Presso il centro di calcolo Tier-1 del CNAF la ricerca di eventi sui file, siano essi scritture, accessi, modifiche nei metadati, etc., è attualmente effettuata tramite scansioni dei singoli file system. Queste operazioni possono richiedere anche diversi minuti e nei prossimi anni, con una previsione di un aumento significativo nella quantità di dati da gestire, potrebbero essere ancora più onerose. Per questi motivi, si intende valutare se e come è possibile superare questo approccio tramite la tracciatura degli eventi che avvengono sui file. A tal proposito saranno studiate le tecnologie c
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Wu, Jiesheng. "Communication and memory management in networked storage systems." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095696917.

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Cheng, Lu. "Concentric layout, a new scientific data layout for matrix data set in Hadoop file system." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4545.

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The data generated by scientific simulation, sensor, monitor or optical telescope has increased with dramatic speed. In order to analyze the raw data speed and space efficiently, data pre-process operation is needed to achieve better performance in data analysis phase. Current research shows an increasing tread of adopting MapReduce framework for large scale data processing. However, the data access patterns which generally applied to scientific data set are not supported by current MapReduce framework directly. The gap between the requirement from analytics application and the property of Map
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Konečný, Tomáš. "Oprava metadat souborového systému FAT32." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316925.

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This work relates to problematics of FAT32 file system metadata recovery from damaged flash drive or memory card and design of program capable of such recovery and comparision with existing solution for this task.
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Lombard, Pierre. "NFSP : Une solution de stockage distribué pour architectures grande échelle." Phd thesis, Grenoble INPG, 2003. http://tel.archives-ouvertes.fr/tel-00004373.

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Le stockage de données utilise souvent des systèmes se caractérisant par une grande intrusivité : ceux-ci requièrent de nombreuses modifications logicielles, voire parfois même matérielles, pour être déployés et utilisés. Notre solution consiste à offrir un stockage distribué logiciel pour architectures de type grappes de nature faiblement intrusive dans la mesure où le protocole standard omni-présent du monde Unix, NFS, est utilisé. L'approche retenue se caractérise par une séparation de la gestion des méta-données et des données permettant ainsi de répartir la charge d'entrées/sorties et d'o
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Noronha, Ranjit Mario. "Designing High-Performance And Scalable Clustered Network Attached Storage With Infiniband." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218608130.

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Books on the topic "Cluster File System"

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Quintero, Dino. Cluster Systems Management cookbook for pSeries. 2nd ed. IBM, 2004.

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Pang, James Yuen Chau. Implementation and performance of cluster-based file replication in large scale distributed systems. National Library of Canada, 1993.

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Lawrence, Sterling Thomas, ed. Beowulf cluster computing with Windows. MIT Press, 2002.

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Redbooks, IBM. IBM Pseries Cluster Systems Handbook. IBM.Com/Redbooks, 2003.

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Redbooks, IBM. IBM Cluster 1600 Managed by Pssp 3.5: What's New. Ibm, 2002.

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Redbooks, IBM. Managing IBM Eserver Cluster 1600 Power Recipes for Pssp 3.4. Ibm, 2002.

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Redbooks, IBM. Cluster Systems Management Cookbook for Pseries. IBM.Com/Redbooks, 2005.

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Tru64 UNIX-Oracle9i Cluster Quick Reference (HP Technologies). Digital Press, 2002.

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Implementing High Availability Cluster Multi-processing Hacmp Cookbook. Vervante, 2005.

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Redbooks, IBM. Gpfs on Aix Clusters, High Performance File System Administration Simplified. Ibm, 2001.

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Book chapters on the topic "Cluster File System"

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Zheng, Gang, Kai Ding, and Zhenxing He. "Design of Cluster Safe File System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39425-9_31.

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Frattolillo, Franco, and Salvatore D’Onofrio. "An Efficient Parallel File System for Cluster Grids." In Recent Advances in Parallel Virtual Machine and Message Passing Interface. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11557265_16.

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Wang, Yu, Jing Xing, Jin Xiong, and Dan Meng. "A Load-Aware Data Placement Policy on Cluster File System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24403-2_2.

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Li, Xiuqiao, Bin Dong, Limin Xiao, and Li Ruan. "Performance Optimization of Small File I/O with Adaptive Migration Strategy in Cluster File System." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11842-5_33.

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Lopes, Paulo A., and Pedro D. Medeiros. "pCFS vs. PVFS: Comparing a Highly-Available Symmetrical Parallel Cluster File System with an Asymmetrical Parallel File System." In Euro-Par 2010 - Parallel Processing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15277-1_13.

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Huo, Yan-mei, Jiu-bin Ju, and Liang Hu. "RRBS: A Fault Tolerance Model for Cluster/Grid Parallel File System." In Parallel and Distributed Processing and Applications. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11576235_23.

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Kim, Young-Kyun, Hong-Yeon Kim, Sang-Min Lee, June Kim, and Myoung-Joon Kim. "OASIS: Implementation of a Cluster File System Using Object-Based Storage Devices." In Computational Science and Its Applications - ICCSA 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751540_115.

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Aguilera-Mendoza, Longendri, and Monica T. Llorente-Quesada. "Modeling and Simulation of Hadoop Distributed File System in a Cluster of Workstations." In Model and Data Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41366-7_1.

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Munegowda, Keshava, G. T. Raju, Veera Manikdandan Raju, and T. N. Manjunath. "Characterization of Transaction-Safe Cluster Allocation Strategies of TexFAT File System for Embedded Storage Devices." In Computational Intelligence in Data Mining - Volume 1. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-2205-7_47.

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Lu, Enming, and Fei Peng. "Research and Implementation of EXFAT File System Reconstruction Algorithm Based on Cluster Size Assumption and Computational Verification." In Artificial Intelligence Security and Privacy. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9785-5_21.

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Conference papers on the topic "Cluster File System"

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Koyama, Sohei, Kohei Hiraga, and Osamu Tatebe. "FINCHFS: Design of Ad-Hoc File System for I/O Heavy HPC Workloads." In 2024 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2024. http://dx.doi.org/10.1109/cluster59578.2024.00045.

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Zeng, Qingjie, Xiaojian Liao, Xianqiang Luo, and Jiwu Shu. "Offloading File System Clients onto a Data Processing Unit (DPU) with DPUFS." In 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2025. https://doi.org/10.1109/ccgrid64434.2025.00016.

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Rashid, Md Hasanur, Xinyi Li, Youbiao He, Forrest Sheng Bao, and Dong Dai. "Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File System." In 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2025. https://doi.org/10.1109/ccgrid64434.2025.00037.

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Paul, Arnab K., Ryan Chard, Kyle Chard, Steven Tuecke, Ali R. Butt, and Ian Foster. "FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems." In 2019 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2019. http://dx.doi.org/10.1109/cluster.2019.8891045.

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Jin Xiong, Sining Wu, Dan Meng, Ninghui Sun, and Guojie Li. "Design and performance of the Dawning Cluster File System." In Proceedings IEEE International Conference on Cluster Computing CLUSTR-03. IEEE, 2003. http://dx.doi.org/10.1109/clustr.2003.1253320.

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Vef, Marc-Andre, Nafiseh Moti, Tim SuB, et al. "GekkoFS - A Temporary Distributed File System for HPC Applications." In 2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2018. http://dx.doi.org/10.1109/cluster.2018.00049.

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Tanaka, Masahiro, Osamu Tatebe, and Hideyuki Kawashima. "Applying Pwrake Workflow System and Gfarm File System to Telescope Data Processing." In 2018 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2018. http://dx.doi.org/10.1109/cluster.2018.00024.

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Vef, Marc-Andre, Rebecca Steiner, Reza Salkhordeh, et al. "DelveFS - An Event-Driven Semantic File System for Object Stores." In 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2020. http://dx.doi.org/10.1109/cluster49012.2020.00014.

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Li, Xin, Zhanhuai Li, Xiao Zhang, and Lexiao Wang. "LZpack: A Cluster File System Benchmark." In 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2010. http://dx.doi.org/10.1109/cyberc.2010.88.

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Rongfeng Tang, Dan Meng, and Sining Wu. "Optimized implementation of extendible hashing to support large file system directory." In Proceedings IEEE International Conference on Cluster Computing CLUSTR-03. IEEE, 2003. http://dx.doi.org/10.1109/clustr.2003.1253347.

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Reports on the topic "Cluster File System"

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Wiens, Isaac Christian, and Jennifer Kathleen Green. Parallel File System I/O Performance Testing On LANL Clusters. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1312628.

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Kirichek, Galina, Vladyslav Harkusha, Artur Timenko, and Nataliia Kulykovska. System for detecting network anomalies using a hybrid of an uncontrolled and controlled neural network. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3743.

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In this article realization method of attacks and anomalies detection with the use of training of ordinary and attacking packages, respectively. The method that was used to teach an attack on is a combination of an uncontrollable and controlled neural network. In an uncontrolled network, attacks are classified in smaller categories, taking into account their features and using the self- organized map. To manage clusters, a neural network based on back-propagation method used. We use PyBrain as the main framework for designing, developing and learning perceptron data. This framework has a suffi
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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40700.

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The academic performance of engineering students continues to receive attention in the literature. Despite that, there is a lack of studies in the literature investigating the simultaneous relationship between students' systems thinking (ST) skills, Five-Factor Model (FFM) personality traits, proactive personality scale, academic, demographic, family background factors, and their potential impact on academic performance. Three established instruments, namely, ST skills instrument with seven dimensions, FFM traits with five dimensions, and proactive personality with one dimension, along with a
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