Search Results - (( java application optimization algorithm ) OR ( using allocation graph algorithm ))
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1
Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…The resource allocation problem is modelled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element. …”
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Monograph -
2
Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone. …”
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3
Resource management in grid computing using ant colony optimization
Published 2011“…Managing resources in grid computing system is complicated due to the distributed and heterogeneous nature of the resources.Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources which lead to the resources having high workload or the time taken to process a job is high.This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system.The algorithm consists of three new mechanisms that organize the work of an ant colony i.e. initial pheromone value mechanism, resource selection mechanism and pheromone update mechanism.The resource allocation problem is modeled as a graph that can be used by the ant to deliver its pheromone.This graph consists of four types of vertices which are job, requirement, resource and capacity that are used in constructing the grid resource management element.The proposed EACO algorithm takes into consideration the capacity of resources and the characteristics of jobs in determining the best resource to process a job.EACO selects the resources based on the pheromone value on each resource which is recorded in a matrix form.The initial pheromone value of each resource for each job is calculated based on the estimated transmission time and execution time of a given job. …”
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Monograph -
4
An improved algorithm for channel allocation on direct sequence spread spectrum
Published 2011“…Graph coloring is a useful algorithm for channel allocation on Direct Sequence Spread Spectrum (DSSS).Through this algorithm,each access point (AP) that adjacent gives different channels based on colors available.Welsh Powell algorithm and Degree of saturation (Dsatur) are the popular algorithms being used for channel allocation in this domain. …”
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5
An Improved of Channel Allocation for WLAN Using Vertex Merge Algorithm
Published 2012“…Graph colouring is a useful algorithm for channel allocation on wireless local area network (WLAN). …”
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Conference or Workshop Item -
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Graph theory approach for managing lecturers’ schedule using graph colouring method / Siti Nor Ba Basri, Nur Su’aidah Khozaid and Farhana Hazwani Ismail
Published 2023“…Different colours are allocated to each vertex using graph colouring techniques such as the vertices algorithm or the edges algorithm, ensuring that clashing courses and lecturers are assigned different time slots. …”
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Student Project -
7
Graph algorithm vertex coloring
Published 2019“…A vertex coloring algorithm has been presented. As a result of applying vertex coloring algorithm no two vertex are to be allocated in same color if they are adjacent in graph. …”
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Find the maximum clique by graph coloring using heuristic greedy
Published 2019“…A vertex coloring algorithm has been presented. As a result of applying vertex coloring algorithm no two vertex are to be allocated in same color if they are adjacent in graph. …”
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The graph heuristic with great deluge algorithm to solve the ITC2007 examination timetabling problem
Published 2014“…The graph heuristic with great deluge algorithm will be used to solve this problem. …”
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Undergraduates Project Papers -
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Partial examination assignment approaches for solving examination timetabling problems
Published 2016“…This thesis presents partial examination assignment approaches to address the examination timetabling problem. The proposed algorithms work by first ordering all examinations using graph heuristics ordering strategies. …”
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network
Published 2022“…This thesis proposes three DRLbased resource allocation algorithms that optimize the CRAN performance in terms of energy efficiency (EE), spec tral efficiency (SE), and total power consumption. …”
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Final Year Project / Dissertation / Thesis -
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Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
Published 2001“…In this study, we have modeled the CSP as a constraint graph. This allows us to device an augmented backtracking algorithm that could be employed to find a solution for this CSP. …”
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Article -
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Adaptive and optimized radio resource allocation algorithms for OFDMA based networks
Published 2015“…AORAA contains an adaptive and optimized subcarrier allocation algorithm which uses graph theoretic techniques to do the best probable matching of subcarrier and users’ channel information. …”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…LACE algorithm is used to schedule and optimize Virtual Machine (VMs) allocation across the servers according to behaviour obtained from locust nature. …”
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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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