Search Results - (( developing grid computational algorithm ) OR ( java application system algorithm ))
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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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Monograph -
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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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Thesis -
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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 -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…Nowadays, in the grid community, distributed and clustering system, a lot of work has been focused on providing efficient and safe replication management services through designing of algorithms and systems. …”
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Thesis -
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DESIGN AND EVALUATION OF RESOURCE ALLOCATION AND JOB SCHEDULING ALGORITHMS ON COMPUTATIONAL GRIDS
Published 2012“…The issue is not only to develop new algorithms, but also to evaluate them on an experimental computational grid, using synthetic and real workload traces, along with the other existing job scheduling algorithms. …”
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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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Book Section -
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Improving resource management with multi-instance broker scheduling algorithm in hierarchical grid computing
Published 2016“…The improved Hierarchical Load Balancing Algorithm (iHLBA) was chosen as the benchmark algorithm as it focuses on scheduling for hierarchical grid computing environment. …”
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Heuristic task scheduling algorithms for optimal resource utilisation in grid computing
Published 2020“…The ever-increasing lack of computational resources are less able to satisfy these needs, leading to the development of grid computing. …”
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Article -
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Optimization grid scheduling with priority base and bees algorithm
Published 2014“…The main aim of this current research to propose an optimization of the initial scheduler for grid computing using the bees algorithm. Modern algorithms informed this research. …”
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Data discovery algorithm for scientific data grid environment
Published 2005“…We investigate these algorithms using our Grid Simulator developed using PARSEC. …”
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Article -
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Proposed algorithm for scheduling in computational grid using backfilling and optimization techniques
Published 2016“…In recent years, the fast evolution in the industry of computer hardware such as the processors, has led the application developers to design advanced software's that require massive computational power.Thus, grid computing has emerged in order to handle the computational power demands requested by the applications.Quality of service (QoS) in grid is highly required in order to provide a high service level to the users of Grid.Several interactions events are involved in determining the QoS level in grid such as; allocating the resources for the jobs, monitoring the performance of the selected resources and the computing capability of the available resources. …”
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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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Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…A simulator called ExSim was developed to mimic the static and dynamic nature of the grid computing. …”
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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…In computational grid, job scheduling is one of the main factors affecting grid computing performance. …”
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Monograph -
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Implementation of Grid Computing for Cryptosystem (RSA)
Published 2005“…One objective ofthis project is to perform a small scale study in order to set up a grid computing that can support faster computation ofRSA Algorithm. …”
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Final Year Project -
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Benchmark simulator with dynamic environment for job scheduling in grid computing
Published 2014“…Job scheduling algorithm has a significant influence on grid computing performance. …”
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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. …”
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Conference or Workshop Item -
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Resource broker management by adopting self-adaptive multi-instance broker scheduling in grid computing
Published 2014“…Multi instances of the broker system provides multiple instances of brokers to simultaneously process jobs between multiple resources in a hierarchical cluster grid environment. In this study, the multi-instance broker is developed using grid resource broker taxonomy properties. …”
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