Search Results - (( java simulation optimization algorithm ) OR ( using factor cloud algorithm ))
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1
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…The simulation is implemented with iFogSim and java programming language. …”
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Article -
2
A GENETIC ALGORITHM APPROACH TO THE SELECTION OF CLOUD COMPUTING SERVICES
Published 2019“…This paper will discuss on the use of Genetic Algorithm (GA) approach in the selection of cloud services, which is widely used by organizations to enhance their business efficiency. …”
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Final Year Project -
3
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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Thesis -
4
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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Monograph -
5
Impatient task mapping in elastic cloud using genetic algorithm
Published 2011“…Cloudsim simulator was used to test the proposed algorithm with real datasets collected as a cloud benchmark. …”
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User authentication in public cloud computing through adoption of electronic personal synthesis behavior
Published 2023“…Secondly, a questionnaire prepared to examine the acceptance and use of EPSB. Finally, the implemented algorithm tested by comparing the accuracy of the current authentication framework with and without an EPSB algorithm. …”
text::Thesis -
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Genetic algorithm optimized network in cloud data centre
Published 2016“…In this paper, we look into an area where a cloud network can be optimized. Past studies showed that the unoptimized network device is a main factor behind interruptions in a cloud network. …”
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Efficient task scheduling strategies using symbiotic organisms search algorithm for cloud computing environment
Published 2022“…The SOS and its variants Discrete Symbiotic Organisms Search (DSOS) algorithm have been used to solve different optimisation problems including tasks scheduling in cloud computing environment where results obtained are promising in comparison with stateof- the-art metaheuristic algorithms. …”
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Thesis -
9
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. …”
Review -
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Energy and performance efficient resource allocation for cloud-based data centers
Published 2015“…Users have to pay as much as they use which also known as pay as you go model. Cloud computing facilitates sharing resources over the Internet. …”
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Thesis -
11
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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12
Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…We aim to improve on passwords with respect to both usability as well as security. It uses an enhanced encryption algorithm, and the data is stored securely in the cloud systems. …”
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Thesis -
13
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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Thesis -
14
Object Localization In 3D Point Cloud
Published 2020“…The results of object localization are often affected by many factors such as the quality of the point clouds and the sensitivity of the algorithms to the occlusion in the point clouds. …”
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Final Year Project / Dissertation / Thesis -
15
Latency Analysis of Cloud Infrastructure for Time-Critical IoT Use Cases
Published 2022“…Latency in real-time processing is influenced by many factors such as artificial intelligence (AI) computing algorithm, device processing capabilities, the frameworks, and also the distance from the cloud infrastructure. …”
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Proceeding -
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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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Monograph -
17
Optimized Load Balancing based Task Scheduling in Cloud Environment
Published 2014“…The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. …”
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Article -
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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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19
A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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Conference or Workshop Item -
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A Principled Design of Intelligent Agent for the SLA negotiation process in cloud computing
Published 2022“…IANS uses a behavioural learning analysis algorithm between consumers and CSP to select a reliable, secure server at a minimum cost. …”
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Conference or Workshop Item
