Search Results - (( development methodology cloud algorithm ) OR ( java application optimization algorithm ))
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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 comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…The CloudSim simulator is applied to evaluate each algorithm using key performance metrics, including makespan, average flow time, and the number of cloudlets that fail to meet deadlines. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Peer to peer trade in HTM5 meta model for agent oriented cloud robotic systems
Published 2015“…Cloud computing is a methodology and not a technology. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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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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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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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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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing
Published 2024“…To overcome these obstacles, we first designed a resource management framework for cloud computing systems. This framework elucidates the methodology of resource management in the context of cloud job scheduling. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Computer remote monitoring via mobile phones using socket programming / Samih Omer Fadlelmola Elkhider
Published 2011“…Moreover, this prototype could be used as the basis for developing more advanced remote monitoring in term of performance to access and interact with mobile cloud, which is the future of mobile technology.…”
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Prediction on weather forecast based on cloud shapes using CNN / Muhammad Ashraff Noor Azmi
Published 2024“…Remote weather stations are recommended to broaden weather monitoring coverage, especially in isolated regions where dependence on inhabited-area stations can lead to delayed or incomplete information, posing risks to agriculture and resource management. The development phase focuses on implementing the CNN algorithm specifically for weather prediction based on cloud shapes. …”
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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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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
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