Search Results - (( based applications cloud algorithm ) OR ( _ application swarm 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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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Researches on data Cloud Computing become the necessary trend in the distributed Cloud Computing system domain since the sources and application of the data are distributed and the scale of the applications enlarges quickly. …”
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A survey on QoS requirements based on particle swarm optimization scheduling techniques for workflow scheduling in cloud computing
Published 2020“…This paper surveys scheduling algorithms based on particle swarm optimization (PSO). …”
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Scheduling scientific workflow using multiobjective algorithm with fuzzy resource utilization in multi-cloud environment
Published 2020“…In this respect, this paper proposes a new multi-objective scheduling algorithm with Fuzzy resource utilization (FR-MOS) for scheduling scientific workflow based on particle swarm optimization (PSO) method. …”
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Multi-objective scientific workflow scheduling algorithm in multi-cloud environment for satisfying QoS requirements
Published 2022“…MOS-MWO can thus be applied in cloud-based applications to effectively schedule workflow while achieving significant improvement in the QoS satisfaction rate (QSR) to 4.8% compared with the multi-objective scheduling algorithm (MOS). …”
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Dynamic Task Offloading Algorithm for optimising IoT network quality of service in the Mobile-Fog-Cloud System
Published 2023“…Finally, a Dynamic Task Offloading Algorithm (DTOA) based on rank accuracy estimation model to efficiently schedule tasks and resources in the Mobile-Fog-Cloud system is proposed. …”
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Integrated examination and analysis model for improving mobile cloud forensic investigation
Published 2022“…Advanced forensic techniques become inevitable to investigate the malicious activities in Cloud-based Mobile Applications (CMA). It is challenging to analyse the casespecific evidential artifact from the Mobile Cloud Computing (MCC) environment under forensically sound conditions. …”
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ABC-PSO for vertical handover in heterogeneous wireless networks
Published 2017“…Cloud computing is currently emerging quickly as a client-server technology structure and, currently, providing distributed service applications. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…In addition, it is expected that it can be applied in real-time application. In this study, Simulated Kalman Filter (SKF) is applied to image template matching application as the optimization algorithm. …”
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A priority based job scheduling algorithm in cloud computing
Published 2012“…Some intensive researches have been done in the area of job scheduling of cloud computing. In this paper we have proposed a new priority based job scheduling algorithm (PJSC) in cloud computing. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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MotionSure: a cloud-based algorithm for detection of injected object in data in motion
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A Penalty-Based Genetic Algorithm For The Composite Saas Placement Problem In The Cloud
Published 2010“…This paper proposes a penalty-based genetic algorithm (GA) to the composite SaaS placement problem in the Cloud. …”
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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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Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing
Published 2019“…Business processes are managed using cloud-based workflow technology, which is one of the difficulties of using resources efficiently owing to the inter-task dependencies. …”
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