Search Results - (( web application swarm algorithm ) OR ( _ application ((path algorithm) OR (cloud algorithm)) ))*
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Cloud Computing systems are widely applied in many fields such as communication data management, web application, network monitoring, financial management and so on. …”
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A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing
Published 2020“…In cloud computing, a workflow model is used to represent different scientific and web applications. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…The result of the algorithm performance will be appeared in web application system. …”
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Autonomous mobile robots path planning with integrative edge cloud-based ant colony optimization
Published 2025“…In recent years, Automated Mobile Robots (AMRs) have gained significant attention in industry and research applications, requiring efficient path-planning algorithms to optimize task performance. …”
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Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
Published 2018“…Specifically, we enhance two scheduling algorithms Proportional Deadline Constrained (PDC) and Deadline Constrained Critical Path (DCCP) that address the workflow scheduling problem in Infrastructure as a Service (IaaS) Cloud. …”
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Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Published 2023“…Many enterprise companies migrate their services and applications to the cloud to benefit from cloud computing advantages. …”
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Intelligent Web caching using neurocomputing and particle swarm optimization algorithm
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A Development Of An Internet Of Things Equipped Unmanned Ground Vehicle For Surveilance Purpose
Published 2019“…Therefore, controller is used for navigation before and after approaching obstacles. Path planning algorithm in this project provides the best path to avoid the obstacle and create temporary new waypoints within split seconds. …”
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Cloud-Mobi Framework using hybrid AHP-ACO method for Social Interaction and Travel Planning
Published 2013“…We also enhance the framework by hybrid the AHP with ACO route optimization algorithm from our previous research to suggest an optimum itinerary and travelling path. …”
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Particle Swarm Optimisation with Improved Learning Strategy
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…Proposed cloud brokering algorithms works with different types of cloud provider and deal with various user requirements. …”
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A priority based job scheduling algorithm in cloud computing
Published 2012“…Nowadays cloud computing has become a popular platform for scientific applications. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
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Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
Published 2019“…The goal of the Hybrid GA-PSO algorithm is to reduce the makespan and cost and balance the load of dependent tasks in cloud computing environments over the heterogonous resources. …”
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Optimal Long-Term Hydro Generation Scheduling of Small Hydropower Plant (SHP) using Metaheuristic Algorithm in Himreen Lake Dam
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES)
Published 2022“…Task scheduling and resource allocation are essential aspects of cloud computing. This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The cloud paradigm has arisen due to a rapid growth in applications and data sizes. …”
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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…Although many scheduling algorithms have been implemented for cloud computing, it has been realized that most of the applications nowadays require different objectives that simple scheduling algorithms fail to achieve. …”
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