Search Results - (( java application testing algorithm ) OR ( based evaluation scheduling algorithm ))
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1
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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2
Efficient signaling schedule for centralized and distributed scheduling algorithms for wimax multi-hop relay networks
Published 2012“…On the other hand, the proposed distributed scheduling algorithm (MR-DSA) was evaluated by comparing its performance against performances of Greedy and the factor-graph-based low-complexity distributed scheduling algorithm (FGDS) algorithms in terms of delay, throughput, and overhead. …”
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3
Efficiency and accuracy of scheduling algorithms for final year project evaluation management system
Published 2023“…Considering these critical parameters and constraints, the algorithm assigns presentation slots, venues, and two evaluators to each student without encountering scheduling conflicts, ultimately producing a schedule based on the allocated slots for both students and evaluators.…”
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Deadline based performance evaluation of job scheduling algorithms
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Space allocation for examination scheduling using Genetic Algorithm / Alya Kauthar Azman
Published 2025“…The research adopts a Genetic Algorithm-based approach, where examination scheduling details such as date, time, course code, program code, student group, student numbers, and available spaces are encoded as chromosomes. …”
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…Experimental evaluation confirmed that the proposed grid scheduling algorithms possess a high degree of optimality in performance, efficiency and scalability.…”
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7
Incorporating the range-based method into GridSim for modeling task and resource heterogeneity
Published 2017“…As heterogeneity is one of the unique characteristics of Grid computing, which induces additional challenges in designing heuristic-based scheduling algorithms, the main concern when performing simulation experiments for evaluating the performance of scheduling algorithms is how to model and simulate different Grid scheduling scenarios or cases that capture the inherent nature of heterogeneity of Grid computing environment. …”
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A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…Overall, this study provides valuable insights for cloud service providers to enhance resource management and improve system performance by emphasizing the importance of algorithm selection based on workload characteristics and scheduling constraints.…”
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Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces
Published 2017“…The main thrust of this work was to conduct a quality of service based experimental performance evaluation of job scheduling algorithms on computational Grid in true dynamic environment. …”
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Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim
Published 2008“…The idea behind the adaptive job scheduling algorithm is the hybrid algorithms that consist of Ant Colony Optimization (ACO) and Tabu algorithms. …”
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Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Published 2025“…One significant scheduling challenge is the Cost-based Hybrid Flow Shop (CHFS) problem, which involves optimizing job scheduling across multiple stages to minimize scheduling-related costs. …”
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Task scheduling on computational grids using Gravitational Search Algorithm
Published 2014“…In this paper, Gravitational Search Algorithm (GSA), as one of the latest population-based metaheuristic algorithms, is used for task scheduling on computational Grids. …”
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Priority based fair scheduling : Enhancing efficiency in cloud job distribution
Published 2023“…These metrics were chosen to evaluate and analyze the effectiveness of the proposed scheduling algorithm.…”
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Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm
Published 2024“…A cost-based hybrid flowshop scheduling (CHFS) combines flow shop and job shop elements, with cost considerations as a key indicator. …”
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Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review
Published 2025“…To assure unbiased evaluation, a benchmark to assess task scheduling algorithms is proposed based on comparison to state-or-art algorithms, applicability to real-world contexts, meeting the objectives of the study, negative impacts on other performance metrics, and sizes of datasets used for evaluation. …”
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A novel scheduling algorithm based on game theory and multicriteria decision making in LTE network
Published 2015“…The novel algorithm has proven to be an effective scheduling technique for smart grid applications.…”
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A particle swarm optimization and min-max-based workflow scheduling algorithm with QoS satisfaction for service-oriented grids
Published 2017“…The algorithm selects the best scheduling solutions based on the proposed constraint-handling strategy. …”
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Flexible window-based scheduling with critical worst case latency evaluations for real time traffic in time sensitive networks
Published 2022“…Also, implementing all GCLs in the selected path based on TT evaluations without considering their impacts on the AVB performance results in improper scheduling designs. …”
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Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling
Published 2022“…Existing multi-objective Generator Maintenance Scheduling (GMS) models have considered unit commitment problem together with unit maintenance problem based on a periodic maintenance strategy. …”
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