Search Results - (( developing evaluating cloud algorithm ) OR ( java simulation optimization algorithm ))
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1
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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2
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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3
Tag clouds algorithm with the inclusion of personality traits
Published 2015“…In addition, a prototype was developed to evaluate the proposed algorithm. Then, user satisfaction was conducted in order to evaluate this prototype using Q-SAFI instruments. …”
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4
Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism
Published 2025“…Consequently, assessing and confirming the significance of packets (data) before its synchronization with cloud storage becomes imperative. The major contribution of this work lies in the develop of Prior Evaluation Cloud Storage Cost Optimization called (PECSCO) mechanism to optimize the cloud cost with least overhead. …”
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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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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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7
Wireless water quality cloud monitoring system with self-healing algorithm
Published 2017“…It highlights the details of the hardware components and the algorithm as well as the software that is connected to the cloud. …”
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8
Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…The proposed algorithm is evaluated using the WorkflowSim simulation with a real dataset. …”
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9
An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers
Published 2018“…This paper focuses on the development of a dynamic task scheduling algorithm by proposing an Integer Linear Programming (ILP) model that minimizes the energy consumption in a Cloud data center. …”
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Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…In this paper, several novel algorithms are proposed for the dynamic consolidation of VMs in cloud data centers. …”
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11
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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12
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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Resource scheduling algorithm with load balancing for cloud service provisioning
Published 2019“…Recently, Scalable traffic management has been developed in cloud data centers for traffic load balancing and quality of service provisioning. …”
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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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15
Priority based fair scheduling : Enhancing efficiency in cloud job distribution
Published 2023“…To overcome this challenge, numerous researchers have focused on improving existing Priority Rule (PR) cloud schedulers by developing dynamic scheduling algorithms, but they have fallen short of meeting user satisfaction. …”
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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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A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution
Published 2023“…To address this issue, the main objective of this research is to improve the existing PR cloud schedulers by developing a new dynamic scheduling algorithm by manipulating the gaps in the cloud job schedule. …”
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18
An adaptive QOS scheduling algorithm in service oriented grid and cloud environment / Ang Tan Fong
Published 2011“…An experimental testbed is developed to evaluate the performances of all the proposed algorithms. …”
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19
Conceptual deployment models to secure cloud computing / Hajar Ziglari
Published 2012“…Objectives contain identifying data security attributes and threats for cloud, discovering some strategies to recover the cloud computing service delivery to business performance and customers and developing a new model to cover some security issues. …”
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20
Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…We have developed a cloud-based application that adapts the enhanced authentication method, and its security measurement were evaluated using IBM Application Security on Cloud tool. …”
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