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An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Tag clouds algorithm with the inclusion of personality traits
Published 2015“…Therefore, the main objective of this study is to develop an algorithm that can adapt visual features of tag cloud layout styles based on personality traits of the user. …”
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A Study On AI-Driven Solutions for Cloud Security Platform
Published 2024“…Finally, this research seeks to help organizations protect cloud structures and resources using intentioned AI solutions.…”
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Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…Motivated by a number of security experts in cloud computing, we proposed an innovative solution of authentication for cloud web-based applications. …”
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Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment / Ehab Nabiel Mohammad
Published 2018“…The second stage (i.e. approach development stage) is the development of the proposed CTDHH approach, which includes two main parts, the cost optimisation model of SWFS and the dynamic hyper-heuristic algorithm. …”
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A fault-intrusion-tolerant system and deadline-aware algorithm for scheduling scientific workflow in the cloud
Published 2021“…Background: Recent technological developments have enabled the execution of more scientific solutions on cloud platforms. …”
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HSO: A hybrid swarm optimization algorithm for reducing energy consumption in the cloudlets
Published 2018“…To address these issues, this study sets forth a novel algorithm (HSO) that optimized energy efficiency resource management in the cloud; the process of the proposed method involves the use of the developed cost and runtime-effective model to create a minimum energy configuration of the cloud compute nodes while guaranteeing the maintenance of all minimum performances. …”
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Performance analysis on multi-attribute combinatorial double auction model for resource allocation in cloud computing
Published 2017“…Cloud computing is a distinctive form of the recent well-developed distributed computing which supplies multiple services to the customers on their demand. …”
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Secure multi-authority attribute-based encryption access control with cache-aware scheduling in mobile cloud computing
Published 2021“…Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing, and wireless network to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…In addition, NSGA-II algorithm was able to find the optimal solutions. We then proposed a multi-objective scheduling algorithm framework that considers resource allocation and task scheduling in a heterogonous cloud environment. …”
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Apache Hadoop is one the most used cloud frame work for cloud infrastructure. The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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Security framework based multi agent system architecture to facilitate data fetching from cloud data storage
Published 2012“…GSecaaS is quantitatively and qualitatively evaluated to determine the most appropriate security policies to the development of cloud security algorithm. Based on the evaluation of the post-survey, GSecaaS has been developed. …”
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ECG encryption enhancement with multi-layers of AES and DNA computing
Published 2023“…The solution that has been suggested is one that is both secure and effective when it is put to use in conjunction with the ECG and Covid-19 image encoding algorithms. …”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model
Published 2017“…In the present study, stochastic numerical computing approach is developed by applying artificial neural networks (ANNs) to compute the solution of Lane–Emden type boundary value problems arising in thermodynamic studies of the spherical gas cloud model. …”
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Ontology matching: in search of challenges ahead
Published 2015“…Ontology matching has become a Meta Research field where research topics such as developing advanced reasoner, algorithms for optimum matching, working on Meta matchers and improving results are major open research areas. …”
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Cloud Computing in Smart Cities: Privacy, Ethical and Social Issues
Published 2024“…The rapid development of cloud computing technologies has revolutionized various sectors, and smart cities are no exception. …”
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Secure lightweight client for cloud-based E-Health Model
Published 2023“…The results of this study will remarkably facilitate the development of a practical secure cloud-based eHealth system.…”
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