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Modelling and simulation of security-aware task scheduling in cloud computing based on Blockchain technology

Simulation modelling practice and theory, 2020-02, Vol.99, p.102038, Article 102038

2020

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Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security

Future generation computer systems, 2018-09, Vol.86, p.1106-1117

2018

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Multi-level hierarchic genetic-based scheduling of independent jobs in dynamic heterogeneous grid environment

Information sciences, 2012-12, Vol.214, p.1-19

2012

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Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Future generation computer systems, 2015-10, Vol.51, p.61-71

2015

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Cybersecurity of Digital Service Chains: Challenges, Methodologies, and Tools

1st Edition 2022, 2022

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Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review

Computing, 2019-08, Vol.101 (8), p.893-936

2019

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ERF-XGB: An Edge-IoT-Based Explainable Model for Predictive Maintenance

IEEE transactions on consumer electronics, 2024-02, Vol.70 (1), p.4016-4025

2024

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3D nanoporous titania formed by anodization as a promising photoelectrode material

Journal of electroanalytical chemistry (Lausanne, Switzerland), 2018-08, Vol.823, p.221-233

2018

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Secure mobile cloud computing

Concurrency and computation, 2021-09, Vol.33 (18), p.n/a

2021

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A security framework in G-Hadoop for big data computing across distributed Cloud data centres

Journal of computer and system sciences, 2014-08, Vol.80 (5), p.994-1007

2014

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Effects of anodizing potential and temperature on the growth of anodic TiO2 and its photoelectrochemical properties

Applied surface science, 2017-02, Vol.396, p.1119-1129

2017

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Effect of electrolyte agitation on anodic titanium dioxide (ATO) growth and its photoelectrochemical properties

Electrochimica acta, 2015-10, Vol.180, p.801-810

2015

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Stackelberg games for modeling defense scenarios against cloud security threats

Journal of network and computer applications, 2018-05, Vol.110, p.99-107

2018

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Artificial Neural Network support to monitoring of the evolutionary driven security aware scheduling in computational distributed environments

Future generation computer systems, 2015-10, Vol.51, p.72-86

2015

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Enhancing the genetic-based scheduling in computational grids by a structured hierarchical population

Future generation computer systems, 2011-10, Vol.27 (8), p.1035-1046

2011

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SCORE: Simulator for cloud optimization of resources and energy consumption

Simulation modelling practice and theory, 2018-03, Vol.82, p.160-173

2018

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Dynamic power management in energy-aware computer networks and data intensive computing systems

Future generation computer systems, 2014-07, Vol.37, p.284-296

2014

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GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds

Simulation modelling practice and theory, 2019-05, Vol.93, p.3-20

2019

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Integration of task abortion and security requirements in GA-based meta-heuristics for independent batch grid scheduling

Computers & mathematics with applications (1987), 2012, Vol.63 (2), p.350-364

2012

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Effect of the previous usage of electrolyte on growth of anodic titanium dioxide (ATO) in a glycerol-based electrolyte

Electrochimica acta, 2014-08, Vol.136, p.412-421

2014

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Modelling and simulation of secure energy aware fog sensing systems

Simulation modelling practice and theory, 2020-05, Vol.101, p.102011, Article 102011

2020

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Energy efficient genetic-based schedulers in computational grids

Concurrency and computation, 2015-03, Vol.27 (4), p.809-829

2015

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Electrochemical growth of porous titanium dioxide in a glycerol-based electrolyte at different temperatures

Electrochimica acta, 2014-10, Vol.144, p.127-135

2014

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Software Tools and Techniques for Big Data Computing in Healthcare Clouds

Future generation computer systems, 2015-02, Vol.43-44, p.38-39

2015

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Agent–based monitoring of the task scheduling in computational clouds

Journal of intelligent & fuzzy systems, 2019-01, Vol.37 (6), p.7481-7492

2019

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Modelling and simulation of security-aware task scheduling in cloud computing based on Blockchain technology

Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security

Multi-level hierarchic genetic-based scheduling of independent jobs in dynamic heterogeneous grid environment

Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Cybersecurity of Digital Service Chains: Challenges, Methodologies, and Tools

Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review

ERF-XGB: An Edge-IoT-Based Explainable Model for Predictive Maintenance

3D nanoporous titania formed by anodization as a promising photoelectrode material

Secure mobile cloud computing

A security framework in G-Hadoop for big data computing across distributed Cloud data centres

Effects of anodizing potential and temperature on the growth of anodic TiO2 and its photoelectrochemical properties

Effect of electrolyte agitation on anodic titanium dioxide (ATO) growth and its photoelectrochemical properties

Stackelberg games for modeling defense scenarios against cloud security threats

Artificial Neural Network support to monitoring of the evolutionary driven security aware scheduling in computational distributed environments

Enhancing the genetic-based scheduling in computational grids by a structured hierarchical population

SCORE: Simulator for cloud optimization of resources and energy consumption

Dynamic power management in energy-aware computer networks and data intensive computing systems

GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds

Integration of task abortion and security requirements in GA-based meta-heuristics for independent batch grid scheduling

Effect of the previous usage of electrolyte on growth of anodic titanium dioxide (ATO) in a glycerol-based electrolyte

Modelling and simulation of secure energy aware fog sensing systems

Energy efficient genetic-based schedulers in computational grids

Electrochemical growth of porous titanium dioxide in a glycerol-based electrolyte at different temperatures

Software Tools and Techniques for Big Data Computing in Healthcare Clouds

Agent–based monitoring of the task scheduling in computational clouds

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