Search Results - (( developing fog computing algorithm ) OR ( java simulation optimization algorithm ))
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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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Multi-objective optimization for integrated task scheduling and load balancing in fog computing for IoT applications
Published 2025“…This study focuses on a Fog Optimized Computing System (FOCS) algorithm, which is developed to handle network congestion and processing challenges imposed by the increasing number of IoT devices. …”
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Fog-cloud scheduling simulator for reinforcement learning algorithms
Published 2023“…However, the main challenge with fog computing is that the edge nodes, called fog devices, have limited processing capabilities and storage for dynamic high-level operations. …”
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Design and development of smart parking system based on fog computing and internet of things
Published 2021“…A multi‐layer architecture is developed that consists of multiple sensor nodes, and fog and cloud computing layers. …”
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SELAMAT: a new secure and lightweight multi-factor authentication scheme for cross-platform industrial IoT systems
Published 2021“…The development of the industrial Internet of Things (IIoT) promotes the integration of the cross-platform systems in fog computing, which enable users to obtain access to multiple application located in different geographical locations. …”
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ECG encryption enhancement with multi-layers of AES and DNA computing
Published 2023“…IoT study fields currently involve security and privacy due to the fact that the installation of Cryptographic Internet Communications "ICs" for protected IC applications like Fog Computing and Cloud Computing devices is extremely crucial in any developing technology. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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Weather prediction system using ANN algorithm / Nur Afiqah Ahmad Sukri
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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Network analysis in a peer-to-peer energy trading model using blockchain and machine learning
Published 2024“…However, existing works related to the blockchain with P2P energy trading are engaged in increasing the cost related to resource allocation, latency, computational processing, and large network setup. The objective of this paper is to design and develop a three-tier architecture, an analytical model, and a hybrid algorithm for network analysis in a blockchain-based P2P energy trading system using reinforcement learning (RL) and feed forward neural network (FFNN) techniques. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment
Published 2024“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
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