[PDF] Top 20 Energy-efficient task scheduling model based on MapReduce for cloud computing using genetic algorithm

Energy-efficient task scheduling model based on MapReduce for cloud computing using genetic algorithm

... input files into M pieces of typically 64 megabytes (MB) per piece. It then starts up many copies of the program on a cluster of machines. One of the copies of the program is special—the master. The rest are workers that ... See full document

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A hybrid genetic algorithm with mapreduce technique for cloud computing energy efficiency

... One outcome from the green technology is the concept of Power Usage Effectiveness (PUE), developed by a company The Green Grid, which highlights the importance of energy consumption in data centers. Standard ... See full document

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An Efficient Multi-Objective Genetic Algorithm for Optimization of Task Scheduling in Cloud Computing

... Abstract-Cloud computing is a type of computing based on internet that provides shared processing resources and data to computers and other devices on ...utility computing have guide to ... See full document

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Optimization of Completion Time through Efficient Resource Allocation of Task in Cloud Computing by Enhancing the Genetic Algorithm using Differential Evolutionary Algorithms

... Cloud task scheduling algorithm based on improved Genetic algorithm paper aimed to optimize both the execution and the computational cost of resource for efficient ... See full document

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An Improved Task Scheduling algorithm Based on PSO for Cloud Computing

... hybrid task scheduling algorithm can also be ...distributed task scheduling methods based on proposed work can also be ...to cloud pricing models for providing more ... See full document

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Energy Efficient Scheduling Algorithm for Cloud Computing Systems Based on Prediction Model

... ‘green cloud’ approach to reduce the power ...algorithms cloud environments can increase the efficiency of ...for energy efficiency. A.T. Makaratzis et al. [10] proposed algorithm for ... See full document

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Energy Efficient Mapreduce Task Scheduling on YARN

... centers, energy cost is one of the major challenges in providing computational ...infrastructure. MapReduce, which is a distributed processing platform, is accepted by many enterprises and have started ... See full document

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An Efficient Energy Consumption Minimizing Based on Genetic and Power Aware Scheduling in Cloud Computing

... of energy consumption in cloud computing data ...back energy consumption with ...economical cloud solutions save energy value at a value of the numerous performance ...for ... See full document

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MULTIPLE VIRTUAL MACHINE IN A CUMULATIVE SERVER USING XEN BALLOON DRIVER BY IMPLEMENTING REAL TIME TASK ORIENTED TASK SCHEDULING ALGORITHM

... control based on the balloon driver in ...global-scheduling algorithm based on the dynamic baseline to determine the optimal allocation of memory ...allocation using real workloads that ... See full document

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An efficient Task Scheduling and Load Balancing in Cloud Computing using KD Tree Algorithm

... (ACO), Genetic Algorithm (GA) [11-13] are developed to achieve better ...by using various types of priority methods namely VM priority, task priority and sorting methods, that are involved in ... See full document

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TASK SCHEDULING BASED ON EFFICIENT OPTIMAL ALGORITHM IN CLOUD COMPUTING ENVIRONMENT

... In this paper we propose CloudSim: Simulation Tool kit that enables modeling and simulation of Cloud computing environments. The CloudSim toolkit supports modeling and creation of one or more virtual ... See full document

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A Review Work On Task Scheduling In Cloud Computing Using Genetic Algorithm

... Cloud computing is service-focused to provide high quality and low-cost information services by pay-per-use model in which guarantees are offered by the cloud service providers through ... See full document

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Enhanced Genetic Algorithm based Task Scheduling in Cloud Computing

... Cloud computing is growing fast and is inexpensive [1]. Cloud computing provides IT services by taking advantage of the web applications, networks and the computing ...requirements ... See full document

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A Review: Metaheuristic Technique in Cloud Computing

... that Cloud computing resources scheduling is essential for executing workflows in the cloud platform because it relates to both the execution time and execution ...For scheduling T ... See full document

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A Survey Based on Secure and Efficient Task Scheduling Technique For Cloud Computing

... job scheduling in cloud computing using artificial intelligence techniques such as genetic algorithm and ant ...specific task or ...trained using different learning ... See full document

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Pso-Based Task Scheduling Algorithm Using Adaptive Load Balancing Approach For Cloud Computing Environment

... conducted using the CloudSim tool and show that proposed PSO-BOOST algorithm outperforms compared with existing PSO, adaptive PSO, ABC and improved min-min load balancing ...strategy based on ... See full document

6

Optimization Task Scheduling Algorithm in Cloud Computing

... Genetic algorithm is based on biological concept of generation of the population, a rapid growing area of Artificial ...of scheduling in which the tasks are assigned resources according ... See full document

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Review of Hybrid Load Balancing Algorithms in Cloud Computing Environment

... modified task scheduling algorithm based on the concept of beelife algorithm (BLA) and greedy algorithm to get an optimal service in hybrid ...life algorithm are ... See full document

7

An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing

... the task scheduling algorithm which is used first for the balancing the load on cluster and then reduce the performance ...consider scheduling a set of independent tasks on a homogeneous ... See full document

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Efficient Task Scheduling Over Cloud Computing with An Improved Firefly Algorithm

... Cloud Computing is a model for conveying and hosting services on the ...This model played important role when anybody started any organization from low level and add more resources according ... See full document

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