Výsledky vyhľadávania - Distributed Orchestration In-memory database low latency scheduling machine learning

LLRS : A Low Latency Resource Scheduling in Cloud Continuum Orchestration

Autori: Mukuhi, David Kule Outtagarts, Abdelkader kule Mukuhi, david

Prispievatelia: Mukuhi, David Kule Outtagarts, Abdelkader kule Mukuhi, david

Zdroj: 2024 27th Conference on Innovation in Clouds, Internet and Networks (ICIN). :81-87

Predmety: machine learning, low latency scheduling, Distributed Orchestration, [INFO] Computer Science [cs], Distributed Orchestration In-memory database low latency scheduling machine learning, In-memory database

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04995146v1
https://hal.science/hal-04995146v1/document
https://doi.org/10.1109/icin60470.2024.10494439

Hybrid Cloud–Edge Architecture for Real-Time Cryptocurrency Market Forecasting: A Distributed Machine Learning Approach with Blockchain Integration.

Autori: Alenazi, Mohammed M. Jaskani, Fawwad Hassan

Zdroj: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 18, p3044, 26p

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Cloud-Based Architecture for Hydrophone Data Acquisition and Processing of Surface and Underwater Vehicle Detection.

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MEC and SDN Enabling Technologies, Design Challenges, and Future Directions of Tactile Internet and Immersive Communications.

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Edge Computing and Cloud Synergy: Optimizing Distributed Deployments.

Autori: Kadulla, Sumanth

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Developing real-time IoT-based public safety alert and emergency response systems.

Autori: Zhang, Han Zhang, Runze Sun, Jiamanzhen

Zdroj: Scientific Reports; 8/8/2025, Vol. 15 Issue 1, p1-25, 25p

Dynamic network slicing orchestration in open 5G networks using multi-criteria decision making and secure federated learning techniques.

Autori: Kholidy, Hisham A.

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Vehicle-to-Everything-Car Edge Cloud Management with Development, Security, and Operations Automation Framework.

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A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends.

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