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1
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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3
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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4
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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5
Investigating computational thinking among primary school students in Terengganu using visual programming
Published 2022“…There is still a large gap in term of the investigation of student’s CT skills competency in this aspect. …”
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6
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A comparison of the proposed system with other competing solutions demonstrates its superiority. © 2017, Springer-Verlag London Ltd., part of Springer Nature.…”
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7
Adaptive security architecture for protecting RESTful web services in enterprise computing environment
Published 2018“…A comparison of the proposed system with other competing solutions demonstrates its superiority. © 2017, Springer-Verlag London Ltd., part of Springer Nature.…”
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