An Energy-optimized Embedded load balancing using DVFS computing in Cloud Data centers

Computer Communications, Год журнала: 2022, Номер 197, С. 255 - 266

Опубликована: Ноя. 2, 2022

Язык: Английский

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A machine learning model for improving virtual machine migration in cloud computing

The Journal of Supercomputing, Год журнала: 2023, Номер 79(9), С. 9486 - 9508

Опубликована: Янв. 16, 2023

Язык: Английский

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INNES: An intelligent network penetration testing model based on deep reinforcement learning

Applied Intelligence, Год журнала: 2023, Номер 53(22), С. 27110 - 27127

Опубликована: Сен. 1, 2023

Язык: Английский

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EMaC: Dynamic VM Consolidation Framework for Energy-Efficiency and Multi-metric SLA Compliance in Cloud Data Centers

SN Computer Science, Год журнала: 2024, Номер 5(5)

Опубликована: Июнь 13, 2024

Язык: Английский

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Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments

Expert Systems, Год журнала: 2025, Номер 42(2)

Опубликована: Янв. 9, 2025

ABSTRACT Live virtual machine (LVM) migration is pivotal in cloud computing for its ability to seamlessly transfer machines (VMs) between physical hosts, optimise resource utilisation, and enable uninterrupted service. However, concerns persist regarding safeguarding sensitive data during migration, particularly critical sectors like healthcare, banking military operations. Existing methods often compromise performance security, prompting the need a balanced solution. To address this, we propose novel framework merging learning with selective encryption fortify pre‐copy live process. Our approach intelligently predicts optimal times while selectively encrypting data, ensuring confidentiality integrity without compromising performance. Rigorous experiments demonstrate effectiveness, showcasing an average 51.82% reduction downtime 72.73% decrease total time across diverse workloads. This integration of not only bolsters security but also optimises metrics, presenting robust solution service delivery domains.

Язык: Английский

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Emo-Tune: Harnessing Emotion-Based Music for Patient Wellness

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 219 - 231

Опубликована: Янв. 1, 2025

Язык: Английский

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An Intuitive and Modular Framework for Enhanced Human-Machine Synergy

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 53 - 65

Опубликована: Янв. 1, 2025

Язык: Английский

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A Hybrid Peer-to-Peer Data Center Resource Management System

Lecture notes in networks and systems, Год журнала: 2025, Номер unknown, С. 383 - 395

Опубликована: Янв. 1, 2025

Язык: Английский

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Deep learning BiLSTM and Branch-and-Bound based multi-objective virtual machine allocation and migration with profit, energy, and SLA constraints

Sustainable Computing Informatics and Systems, Год журнала: 2025, Номер 46, С. 101128 - 101128

Опубликована: Май 5, 2025

Язык: Английский

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Jaya dung beetle optimization-based load balancing and VM Migration for cloud data security in DevOps

Computers & Electrical Engineering, Год журнала: 2025, Номер 124, С. 110400 - 110400

Опубликована: Май 1, 2025

Язык: Английский

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