Search Results - (( program di optimization algorithm ) OR ( java loading optimization algorithm ))
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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
Breaking A Playfair Cipher Using Single and Multipoints Crossover Based on Heuristic Algorithms
Published 2023Conference Paper -
6
Hardware Acceleration of Window Big-Digit (Wbd) Multiplication for Embedded Applications
Published 2015“…This shows that wBD algorithm can be optimally implemented in hardware and demonstrates excellent speed gain over pure software implementation. …”
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7
Energy Management System For Controlling Series Hybrid Electric Motorcycle
Published 2016“…In addition, the energy management system outperformed the conventional thermostat control strategy in terms of traveling distance and it has more optimized fuel usage. The energy management system proposed achieves above 80 % performance of the dynamic programming approach, for long traveling distance, it achieves as high as 98.06 %. …”
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