Suchergebnisse - "Distributed data processing"

High Performance Distributed Data Processing Architecture for AI-Based Multivariate Arctic Geospatial Predictive Weather Modeling

Autoren: Meisam Shayegh Moradi Kyle Foerster Naima Kaabouch et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 19, Pp 7627-7643 (2026)

Schlagwörter: Arctic geospatial time series modeling, artificial intelligence (AI), big data, distributed data processing, environmental predictive analytics, high performance computing (HPC), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11358670/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Zugangs-URL: https://doaj.org/article/094f5cb278684df181878968ff295971

Development Methodology for Organizing a Unified Architecture of the Software Complex for Distributed Data Processing and Storage in the BM@N Experiment

Autoren: K. V. Gertsenberger

Quelle: Physics of Particles and Nuclei. 56:1275-1283

Systematic approach to root cause analysis in distributed data processing systems

Autoren: Bollineni, Satyadeepak

Quelle: World Journal of Advanced Research and Reviews. 25:2343-2350

Schlagwörter: Distributed Data Processing, System Resilience, Log Analytics, Predictive Maintenance, Anomaly Detection, Root Cause Analysis, Cloud Computing, Power Bi, Azure Data Factory

Design of a framework for serverless distributed data processing using queues

Quelle: Eastern-European Journal of Enterprise Technologies; Vol. 4 No. 9 (136) (2025): Information and controlling system; 19-25
Eastern-European Journal of Enterprise Technologies; Том 4 № 9 (136) (2025): Інформаційно-керуючі системи; 19-25

Schlagwörter: розподілена обробка даних, distributed data processing, безсерверна архітектура, serverless architecture, cloud computing, гностичне автоматичне масштабування, хмарні обчислення, predictive autoscaling

Dateibeschreibung: application/pdf

Zugangs-URL: https://journals.uran.ua/eejet/article/view/335723

A Reliable associated Learning Framework with Robust Querying for Distributed Data Processing

Autoren: Gunveen Ahluwalia Thomas P K V S Vijaya Krishna V et al.

Quelle: 2025 World Skills Conference on Universal Data Analytics and Sciences (WorldSUAS). :1-6

Streamlining Social Music Analytics with Distributed Data Processing: Apache Airflow and MongoDB and Spark SQL

Autoren: Bhumika Srinivas Eren Bardak Ireri Avila et al.

Quelle: 2025 International Conference on Computing, Intelligence, and Application (CIACON). :1-6

Waste Generated in Distributed Data Processing Systems: Strategies and Future Directions

Autoren: null Alishba Rehan null Nargin Fatima null Sumaira Nazir

Quelle: Pakistan Journal of Scientific Research. 4:82-91

Distributed Data Processing and Its Impact on the Financial Ecosystem

Autoren: Srinivas Lakkireddy

Quelle: European Journal of Computer Science and Information Technology. 13:1-14

A distributed data processing scheme based on Hadoop for synchrotron radiation experiments

Autoren: Ding Zhang Ze-Yi Dai Xue-Ping Sun et al.

Quelle: J Synchrotron Radiat
Journal of Synchrotron Radiation, Vol 31, Iss 3, Pp 635-645 (2024)

Schlagwörter: distributed data processing, Crystallography, big data, QD901-999, Nuclear and particle physics. Atomic energy. Radioactivity, microservice architecture, 0202 electrical engineering, electronic engineering, information engineering, apache hadoop, QC770-798, 02 engineering and technology, Computer Programs

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38656774
https://doaj.org/article/4c312595b2ee441d8ac5e8139555e7d7

A Proposed Framework for Software Redocumentation Using Distributed Data Processing Techniques and Ontology

Autoren: Laila Almawaldi Hiew Khai Hang Sugumaran Nallusamy

Quelle: Lecture Notes on Data Engineering and Communications Technologies ISBN: 9789819677481

РАЗРАБОТКА СПОСОБА БАЛАНСИРОВКИ НАГРУЗКИ В РАСПРЕДЕЛЕННЫХ СИСТЕМАХ ОБРАБОТКИ ДАННЫХ: DEVELOPMENT OF A METHOD OF LOAD BALANCING IN DISTRIBUTED DATA PROCESSING SYSTEMS

Quelle: ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА. 21:65-72

LEVERAGING EDGE COMPUTING FOR AI AND DISTRIBUTED DATA PROCESSING IN CLOUD SYSTEMS

Autoren: Gaurav Naresh Mittal

Quelle: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY. 16:628-641

Optimizing Geo-Distributed Data Processing with Resource Heterogeneity over the Internet

Autoren: Saeed Mirpour Marzuni Adel Toosi Abdorreza Savadi et al.

Quelle: ACM Transactions on Internet Technology. 25:1-28

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

LEO Satellite Networks Assisted Geo-Distributed Data Processing

Autoren: Zhiyuan Zhao Zhe Chen Zheng Lin et al.

Quelle: IEEE Wireless Communications Letters. 14:405-409

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control

Zugangs-URL: http://arxiv.org/abs/2406.10856

Performance Modeling of Distributed Data Processing in Microservice Applications

Autoren: Yicheng Gao Giuliano Casale Rekha Singhal

Quelle: ACM Transactions on Modeling and Performance Evaluation of Computing Systems. 9:1-30

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Technical Review: Apache Spark and PySpark for Distributed Data Processing

Autoren: Sruthi Erra Hareram

Distributed Data Processing at Scale: A Review of Key Frameworks and Their Characteristics.

Autoren: Patri, Trinath¹ p.trinath2025@gmail.com

Quelle: KSII Transactions on Internet & Information Systems. Jan2026, Vol. 20 Issue 1, p80-105. 26p.

Schlagwörter: Scalability, Big data, Distributed computing, Parallel processing, Real-time computing

Latin Square Job Scheduling for Distributed Data Processing on Warehouse-Scale Computers

Autoren: Kevin Exton Maria A. Rodriguez

Quelle: 2024 IEEE/ACM 17th International Conference on Utility and Cloud Computing (UCC). :119-128

Distributed data processing and task scheduling based on GPU parallel computing

Autoren: Jun Li

Quelle: Neural Computing and Applications. 37:1757-1769

Distributed Data Processing Optimization Based on Edge Computing in Intelligent Transportation System

Autoren: Wei Li Lina Wang

Quelle: International Journal of Intelligent Transportation Systems Research. 23:192-203