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Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim
Published 2008“…This paper concentrates on the design and implement of the grid system for study of adaptive job scheduling algorithm based on GridSim. …”
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Great Deluge and Extended Great Deluge based job scheduling in grid computing using GridSim
Published 2016“…Many heuristic algorithms have been proposed for Grid scheduling to avail Grid computing. …”
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Task scheduling on computational grids using Gravitational Search Algorithm
Published 2014“…Recently, heuristic algorithms have been successfully applied to solve task scheduling on computational Grids. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids.
Published 2009“…This paper proposes a novel Simulated Annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Simulated annealing algorithm for scheduling divisible load in large scale data grids
Published 2008“…This paper proposes a novel simulated annealing (SA) algorithm for scheduling divisible load in large scale data grids. …”
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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The complexity of scheduling problem is considered as a nondeterministic polynomial complete (NP-complete) problem and therefore, an intelligent algorithm is required to achieve better scheduling solution. …”
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COMPARATIVE PERFORMANCE OF SOME HYBRID HEURISTICS SCHEDULING ALGORITHMS BASED ON SLTR AND DEADLINE FOR COMPUTATIONAL GRID
Published 2013“…Grid scheduling is an essential element of a Computational Grid infrastructure. …”
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Scheduling jobs in computational grid using hybrid ACS and GA approach
Published 2014“…Metaheuristics algorithms show very good performance in solving various job scheduling problems in computational grid systems.However, due to the complexity and heterogeneous nature of resources in grid computing, stand-alone algorithm is not capable to find a good quality solution in reasonable time.This study proposes a hybrid algorithm, specifically ant colony system and genetic algorithm to solve the job scheduling problem.The high level hybridization algorithm will keep the identity of each algorithm in performing the scheduling task.The study focuses on static grid computing environment and the metrics for optimization are the makespan and flowtime.Experiment results show that the proposed algorithm outperforms other stand-alone algorithms such as ant system, genetic algorithms, and ant colony system for makespan.However, for flowtime, ant system and genetic algorithm perform better.…”
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Load-Balancing Models for Scheduling Divisible Load on Large Scale Data Grids
Published 2009“…The IDLT model is capable of producing almost optimal solution for single source scheduling with low time complexity. …”
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10
Meta-scheduler in Grid environment with multiple objectives by using genetic algorithm
Published 2006“…The simulation has been obtained using historical information to study the job scheduling in Grid environment. The experimental results have shown that the scheduling system using the multiple objective genetic algorithms can allocate jobs efficiently and effectively.…”
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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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Max-average: an extended max-min scheduling algorithm for Grid computing environtment
Published 2016“…This paper presents a new proposed grid based scheduling algorithm called Max-Average, inspired from Max-Min algorithm. …”
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A hybrid heuristic of variable neighbourhood descent and great deluge algorithm for efficient task scheduling in grid computing
Published 2019“…Scheduling tasks to resources in Grid computing is a challenging task and known as a NP hard problem. …”
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Context aware traffic scheduling algorithm for power distribution smart grid network
Published 2023Article -
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Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
Published 2015“…Hybrid metaheuristic algorithms have the ability to produce better solution than stand-alone approach and no algorithm could be concluded as the best algorithm for scheduling algorithm or in general, for combinatorial problems.This study presents the low and high level hybridization of ant colony system and genetic algorithm in solving the job scheduling in grid computing.Two hybrid algorithms namely ACS(GA) as a low level and ACS+GA as a high level are proposed.The proposed algorithms were evaluated using static benchmarks problems known as expected time to compute model. …”
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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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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…Experimental results show that EACO produced better grid resource management solution compared to other algorithms. …”
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19
Batch mode heuristic approaches for efficient task scheduling in grid computing system
Published 2016“…Many algorithms have been implemented to solve the grid scheduling problem. …”
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Performance comparison of least slack time based heuristics for job scheduling on computational grid
Published 2014“…In recent years, increasing demand for computing has led to the development of computational grid. Typically scheduling challenges tend to be NP-hard problems where there is no optimal solution. …”
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