Search Results - (( java application interface algorithm ) OR ( grid computing techniques algorithm ))
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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The comparison of tardiness in scheduling techniques for task distribution using grid simulation tool
Published 2008“…Today scheduling in Grid computing involves much static and fix algorithm. …”
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Ant colony algorithm for job scheduling in grid computing
Published 2010“…Scheduling jobs to resources in grid computing 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.This will lead to resourccs having high workload and stagnation may occur if computational times of the processed jobs are high.This paper proposed an enhanced ant colony optimization algorithm for jobs and resources scheduling in grid computing.The proposed ant colony algorithm for job scheduling in the grid environment combines the techniques from Ant Colony System and Max - Min Ant System.The algorithm focuses on local pheromone trail update and the trail limit values. …”
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Load balancing using enhanced ant algorithm in grid computing
Published 2010“…Load balancing is one of the critical issues that must he considered in managing a grid computing environment.It is complicated due to the distributed and heterogeneous nature of the resources.An enhanced ant algorithm for load balancing in grid computing is proposed in this papcr.The proposed algorithm will determine the best resource to he allocated to the jobs based on job characteristics and resource capacity, and at the same time to balance the entire resources.The proposed algorithm focuses on local pheromone trail update and trail limit. …”
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Bee foraging behaviour techniques for grid scheduling problem
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Enhanced ant colony optimization for grid resource scheduling
Published 2010“…An Enhanced Ant Colony Optimization (EACO) technique for jobs and resources scheduling in grid computing is proposed in this paper. …”
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An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…Fault tolerance in grid computing allows the system to continue operate despite occurrence of failure. …”
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Job online scheduling within dynamic grid environment
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Fault tolerance grid scheduling with checkpoint based on ant colony system
Published 2017“…Task resubmission and checkpoint are among several popular techniques used in providing fault tolerance in grid computing. …”
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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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Checkpointing in selected most fitted resource task scheduling in grid computing
Published 2012“…Our research adds fault tolerance capacity with checkpointing and machine failure, to the current research, Selected Most Fitted (SMF) Task Scheduling for grid computing. This paper simulates one of fault tolerance techniques for grid computing, which is implementing checkpointing into Select Most Fitting Resource for Task Scheduling algorithm (SMF). …”
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Hybrid ant colony optimization for grid computing
Published 2009“…A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper.The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit.The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table.This facilitates the hybrid ant colony optimization technique in solving the stagnation problem in two ways within one cycle, thus minimize the total computational time of the jobs.…”
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An efficient algorithm for independent tasks scheduling in heterogeneous computing systems
Published 2016“…Task scheduling is critical in heterogenous systems, especially with the huge number of tasks transmitted over grid. Since heuristics are proposing methods for solving heterogenous computing systems, several techniques were proposed for the scheduling on grid computing systems to get better execution time. …”
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A federated usage control framework with ontology-based policy and elimination of irrelevant rules set algorithm for grid computing authorization
Published 2019“…The impact of this problem becomes worst in a grid computing environment due to a large number of users and resource pools in the grid virtual organization (VO). …”
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Big data clustering using grid computing and ant-based algorithm
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A dynamic replication aware load balanced scheduling for data grids in distributed environments of internet of things
Published 2018“…Grid computing is a powerful distributed and scalable computing infrastructure that deals with massive data-intensive applications. …”
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Survey on job scheduling mechanisms in grid environment
Published 2015“…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
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