Showing 141 - 160 results of 275 for search '"distributed computing"', query time: 0.10s Refine Results
  1. 141

    Parallelization of the Bison Algorithm Applied to Data Classification by Simone A. Ludwig, Jamil Al-Sawwa, Aaron Mackenzie Misquith

    Published 2024-11-01
    “…The Bison Algorithm is implemented using PySpark, leveraging the distributed computing power to handle large datasets efficiently. …”
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    Article
  2. 142

    Design of a Situation Aware Service for Internet of Things by Im Y. Jung, Gil-Jin Jang, Jung-Min Yang, Jaesoo Yoo

    Published 2015-09-01
    “…Because the IoT is a fully distributed computing network, it is important to mitigate any negative effects resulting from faults occurring in its components and to provide sustainable services. …”
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    Article
  3. 143

    High Concurrent Streaming Data Processing Technology and Its Application in Industrial Internet by ZHU Kang, HE Chengzhao, LINAG Wenchao, WANG Chao, HU Weiming

    Published 2021-01-01
    “…By constructing Netty server framework based on asynchronous network communication, it pushes the received data stream with the characteristics of multi-source heterogeneous and high concurrency to the message processing system Kafka, then Kafka consumers put the time-consuming operations such as protocol parsing, data persistence and real-time analysis on the server cluster for distributed computing. Actual data processing application results show that this method can maintain the speed of milliseconds when dealing with a large number of high concurrent streaming data returned by devices, and can meet the needs of the system for data processing.…”
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  4. 144

    Model of Automatic Classification and Localization of Images by L. V. Serebryanaya, K. Y. Bochkarev, A. Y. Popitich

    Published 2019-05-01
    “…Further improvement of the proposed model results will be performed by implementing distributed computing on it.…”
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    Article
  5. 145

    Service migration of heterogeneous cloud computing platform by Feng WEI, Fei DING, Pengju JIAO, Yang LI, Yanshan CHEN, Dengyin ZHANG

    Published 2020-12-01
    “…With the rapid development of 5G communication technology,Internet+ and the Internet of things (IoT),cloud computing as an Internet-based virtual resource management and a distributed computing technology,provides services to users in a dynamic,on-demand and measurable manner.The solution of migrating the service platform to the cloud computing platform can realize rapid service deployment and effectively save service innovation and operating cost.With the research of the cloud computing platform-based service migration technology,the China Mobile’s OpenStack-based cloud computing architecture was taken as an example.The technical principles and core points of the mainstream service migration schemes were analyzed,such as offline migration,online migration based on platform functions,online service migration based on the agent block level and online service migration based on agent file level.The general service migration process and method were also given.Finally,three types of online migration schemes were experimentally verified through the actual platform.The technical advantages and adaptation scenarios were analyzed separately to guide the production practice of future business migration.…”
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  6. 146

    Speculation resource provisioning in high-performance computing by Leena Sri, Balaji Narayanan

    Published 2017-01-01
    “… Distributed computing gives a backing to buyers to diminish their inner foundation, and for suppliers to expand incomes, utilizing their own particular framework. …”
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  7. 147

    Examining trip-level errors in passively collected mobile device data for data quality assurance. by Peiqi Zhang, Kathleen Stewart, Aref Darzi

    Published 2025-01-01
    “…We designed a distributed-computing workflow to quantify the errors by comparing the number of trips on closed road segments during road closures with time periods before and after. …”
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    Article
  8. 148

    On Analysis and Computation of Degree-Based Topological Invariants for Cyclic Mesh Network by Nida Zahra, Muhammad Ibrahim, Muhammad Kamran Siddiqui, Hajar Shooshtri

    Published 2021-01-01
    “…Recently, there has been increasing attention on the system network due to its promising applications in parallel hanging architectures such as distributed computing (Day (2004), Day and Al-Ayyoub (2002)). …”
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  9. 149

    A Poisson Equation-Based Method for 3D Reconstruction of Animated Images by Ziang Lei

    Published 2021-01-01
    “…In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. …”
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    Article
  10. 150

    Pymote: High Level Python Library for Event-Based Simulation and Evaluation of Distributed Algorithms by Damir Arbula, Kristijan Lenac

    Published 2013-03-01
    “…This is made possible by a strict and complete definition of the distributed computing environment. The library is implemented in Python whose simple and expressive syntax provides a possibility of minimal implementations and a mild learning curve. …”
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  11. 151

    Scheduling Algorithm: Tasks Scheduling Algorithm for Multiple Processors with Dynamic Reassignment by Pradeep Kumar Yadav, M. P. Singh, Harendra Kumar

    Published 2008-01-01
    “…Distributed computing systems [DCSs] offer the potential for improved performance and resource sharing. …”
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  12. 152

    Green communication and networking for Carbon-peaking and Carbon-neutrality: challenges and solutions by Zhisheng NIU, Sheng ZHOU, Yuxuan SUN

    Published 2022-02-01
    “…Driven by the Carbon-peaking and Carbon-neutrality strategic goals, future mobile communication and networks need to drastically reduce energy consumption while satisfying the growing traffic demand.Therefore, it is necessary to study the theories and technologies used to send more information bits with less energy (SMILE).To meet the challenge, it was far from enough to rely solely on the improvements of wireless transmission technologies and hardware.It was necessary to explore efficient energy utilization mechanisms from the perspective of the system and network.Both energy saving and renewable energy utilization approaches were proposed, and solutions for the growing computing energy consumption were provided.Specifically, by introducing hyper-cellular network, agile coverage and elastic access were realized, and thus service base stations and edge servers could enter the sleeping mode to save energy when the traffic volume was low.Meanwhile, by the introduction of renewable energy and the smart adaption of energy flow and information flow, the energy consumption of the power grid could be greatly reduced.Furthermore, green computing and artificial intelligence could be realized through network function virtualization, energy-efficient coordination of communication and compute resources, and distributed computing and coordination approaches of moving agents.…”
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  13. 153

    Approaches to Federated Computing for the Protection of Patient Privacy and Security Using Medical Applications by Osman Sirajeldeen Ahmed, Emad Eldin Omer, Samar Zuhair Alshawwa, Malik Bader Alazzam, Reefat Arefin Khan

    Published 2022-01-01
    “…Computing model may train on a distributed dataset using Medical Applications, which is a distributed computing technique. Instead of a centralised server, the model trains on device data. …”
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  14. 154
  15. 155

    Development of a software and hardware solution to identify trends in demand for goods by A. I. Miftahova, E. I. Yangirov, E. I. Karaseva, A. I. Yangirov, E. Yu. Nikulina, I. G. Drovnikova

    Published 2023-05-01
    “…The resulting technical solution supports batch processing of data, and the architecture of the infrastructure component allows distributed computing. Testing the tool on a real sample showed the effectiveness of this approach to analyzing consumer demand trends.…”
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  16. 156

    Review of blockchain security regulation by GAO Haoyu, CAO Chunjie, BAI Yirui, MA Qishun, LEI Hong, SUN Hongyu, PEI Qingqi, LU Xiang

    Published 2025-04-01
    “…Blockchain is a new distributed computing paradigm characterized by security and trust, widely applied in various fields. …”
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  17. 157

    Adaptive Workflow Scheduling to Increase Fault Tolerance in Cloud Computing by Abdolreza Pirhoseinlo, Nafiseh Osati Eraghi, Javad Akbari Torkestani

    Published 2024-02-01
    “…Cloud computing in the field of high-performance distributed computing has emerged as a new development in which the demand for access to resources via the Internet is presented in distributed servers that dynamically scale Are acceptable. …”
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  18. 158

    Scalable Resource Provisioning Framework for Fog Computing Using LLM-Guided Q-Learning Approach by Bhargavi Krishnamurthy, Sajjan G. Shiva

    Published 2025-04-01
    “…Fog computing is one of the growing distributed computing platforms incorporated by Industries today as it performs real-time data analysis closer to the edge of the IoT network. …”
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  19. 159

    A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing by Xuan-Qui Pham, Nguyen Doan Man, Nguyen Dao Tan Tri, Ngo Quang Thai, Eui-Nam Huh

    Published 2017-11-01
    “…The rapid development of Internet of Things applications, along with the limitations of cloud computing due mainly to the far distance between Internet of Thing devices and cloud-based platform, has promoted a newly distributed computing platform based on collaboration between cloud computing and fog computing. …”
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  20. 160

    Sensors Grouping Hierarchy Structure for Wireless Sensor Network by Ammar Hawbani, Xingfu Wang, Saleem Karmoshi, Lin Wang, Naji Husaini

    Published 2015-08-01
    “…In this paper, we provided a Sensors Grouping Hierarchy Structure (GHS) to split the nodes in wireless sensor network into groups to assist the collaborative, dynamic, distributed computing and communication of the system. Our idea is to partition the nodes according to their geographical maximum covered regions such that each group contains a number of nodes and a number of leaders. …”
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