Search Results - "distributed computing"

Search alternatives:

  1. 41

    Leveraging Deep Learning for Fault Detection and Localization in Distributed Systems by Debolina Ghosh, Jay Prakash Singh

    Published 2025-01-01
    “…These contributions provide useful information for implementing accurate and scalable fault localization in distributed computing environments found in the real world.…”
    Get full text
    Article
  2. 42

    Analog and digital systems and high-performance solutions in problems of brain research and modeling by N. I. Ananyeva, A. V. Bogdanov, D. E. Gushchanskiy, A. B. Degtyarev, N. M. Zalutskaya, K. A. Lysov, N. G. Neznanov, O. O. Iakushkin

    Published 2018-07-01
    “…For each of them we survey existing options for creating cloud-based distributed computing solutions that can solve important challenges faced by researchers in their work.…”
    Get full text
    Article
  3. 43

    A Survey on Software Defined Network-Enabled Edge Cloud Networks: Challenges and Future Research Directions by Baha Uddin Kazi, Md Kawsarul Islam, Muhammad Mahmudul Haque Siddiqui, Muhammad Jaseemuddin

    Published 2025-05-01
    “…To address these challenges, edge cloud-distributed computing networks emerge. Because of the distributed nature of edge cloud networks, many research works considering software defined networks (SDNs) and network–function–virtualization (NFV) could be key enablers for managing, orchestrating, and load balancing resources. …”
    Get full text
    Article
  4. 44

    Federated Learning-Driven IoT Request Scheduling for Fault Tolerance in Cloud Data Centers by Sheeja Rani S, Raafat Aburukba

    Published 2025-07-01
    “…Cloud computing is a virtualized and distributed computing model that provides resources and services based on demand and self-service. …”
    Get full text
    Article
  5. 45

    Monitoring and Forecasting the Dynamics of the Incidence of COVID-19 in Moscow: 2020–2021 by A. V. Sokolov, L. A. Sokolova

    Published 2022-09-01
    “…The basis of the study is the balanced identification method and the information technology of the same name, created at the Center for Distributed Computing of the Institute for Information Transmission Problems of the Russian Academy of Sciences. …”
    Get full text
    Article
  6. 46

    PERFORMANCE REFINEMENT OF CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES FOR SOLVING BIG DATA PROBLEMS by Saud Aljaloud

    Published 2023-02-01
    “…As the project description implied, this study would not present a standard comparison because of this; instead, it would present a comparison of these networks' performance in a Big Data environment using distributed computing. The FMNIST or Fashion MNIST database and CIFAR10 were also tested (using the same neural network design), extending the scope of the comparison beyond MNIST. …”
    Get full text
    Article
  7. 47

    Is it possible to perform a comprehensive analysis of the diagnostic data of mental diseases in the early stages? by N. M. Zalutskaya, A. Eran, Sh. Freilikhman, R. Balicer, N. A. Gomzyakova, V. V. Korkhov, N. G. Neznanov, A. V. Bogdanov, A. B. Degtyarev

    Published 2019-05-01
    “…It is planned to use the new approach associated with the use of newSQL database as an API, and then use the distributed computing tools for working with heterogeneous data, which will lead to features in the analysis of correlations in multidimensional data arrays. …”
    Get full text
    Article
  8. 48

    Integrated Photonics for IoT, RoF, and Distributed Fog–Cloud Computing: A Comprehensive Review by Gerardo Antonio Castañón Ávila, Walter Cerroni, Ana Maria Sarmiento-Moncada

    Published 2025-07-01
    “…It also outlines open research opportunities in photonic devices and system-level integration, aimed at advancing performance, energy-efficiency, and scalability in next-generation distributed computing networks.…”
    Get full text
    Article
  9. 49

    Accuracy-Aware MLLM Task Offloading and Resource Allocation in UAV-Assisted Satellite Edge Computing by Huabing Yan, Hualong Huang, Zijia Zhao, Zhi Wang, Zitian Zhao

    Published 2025-07-01
    “…However, cloud computing dependency introduces latency, bandwidth, and privacy challenges, while IoT device limitations require efficient distributed computing solutions. SEC, utilizing low-earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), extends mobile edge computing to provide ubiquitous computational resources for remote IoTDs. …”
    Get full text
    Article
  10. 50
  11. 51
  12. 52

    Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method by V. V. Golubov, S. V. Manko

    Published 2024-02-01
    “…It is based on the parallel execution of a decentralized route planning algorithm with mutual coordination of distributed computing processes. The effectiveness of the complex of algorithmic and software tools developed was evaluated using computer and natural simulation methods. …”
    Get full text
    Article
  13. 53

    A Comprehensive Survey on Resource Management for IoT Applications in Edge-Fog-Cloud Environments by Nour El Houda Boubaker, Karim Zarour, Nawal Guermouche, Djamel Benmerzoug

    Published 2025-01-01
    “…Resource management in Edge-Fog-Cloud environments has emerged as a fundamental challenge in modern distributed computing systems, primarily due to the heterogeneous nature of underlying infrastructure, highly dynamic workloads, and the need to optimize multiple, often conflicting, Quality of Service (QoS) metrics such as latency, energy consumption, cost, and security. …”
    Get full text
    Article
  14. 54
  15. 55

    DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

    Published 2020-09-01
    “…The purpose of the research is to develop scientifically grounded models for supporting intelligent technologies for integrating and managing information resources of distributed computing systems. Explore the features of the operational specification of the relational data model. …”
    Get full text
    Article
  16. 56
  17. 57
  18. 58
  19. 59

    Enhancing DevOps Practices in the IoT–Edge–Cloud Continuum: Architecture, Integration, and Software Orchestration Demonstrated in the COGNIFOG Framework by Kostas Petrakis, Evangelos Agorogiannis, Grigorios Antonopoulos, Themistoklis Anagnostopoulos, Nasos Grigoropoulos, Eleni Veroni, Alexandre Berne, Selma Azaiez, Zakaria Benomar, Harry Kakoulidis, Marios Prasinos, Philippos Sotiriades, Panagiotis Mavrothalassitis, Kosmas Alexopoulos

    Published 2025-04-01
    “…This paper presents COGNIFOG, an innovative framework under development that is designed to leverage decentralized decision-making, machine learning, and distributed computing to enable autonomous operation, adaptability, and scalability across the IoT–edge–cloud continuum. …”
    Get full text
    Article
  20. 60

    An improved approach to organising mobile edge computing in a 5G network by Андрій Астраханцев, Лариса Глоба, Олександр Федоров, Дмитро Дегтярьов, Євген Романко, Кирило Романій

    Published 2024-06-01
    “…The method of load balancing and selection of computing nodes for edge computing via 5G allows for identifying available nodes and distributing computing blocks among them. It also provides mutual authentication of elements and includes a method of data verification and error detection for the MEC system. …”
    Get full text
    Article