检索结果-南通市图书馆

MOEAGAC:an energy aware model with genetic algorithm for efficient scheduling in cloud computing

International Journal of Intelligent Computing and Cybernetics 2022年第2期15卷 318-329页

作者： nageswara prasadhu marri N.R.Rajalakshmi CSE Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and TechnologyChennaiIndia

Purpose-Majority of the research work either concentrated on the optimization of scheduling length and execution cost or energy optimization *** research aims to propose the optimization of makespan,energy consumption and data transfer time(DTT)by considering the priority *** research work is concentrated on the multi-objective approach based on the genetic algorithm(GA)and energy aware model to increase the efficiency of the task ***/methodology/approach-Cloud computing is the recent advancement of the distributed and cluster *** computing offers different services to the clients based on their requirements,and it works on the environment of *** environment contains the number of data centers which are distributed *** challenges faced by the cloud environment are energy consumption of the data *** scheduling mechanism is needed to allocate the tasks to the virtual machines which help in reducing the *** paper concentrated on the minimizing the consumption of energy as well as makespan value by introducing the hybrid algorithm called as multi-objective energy aware genetic *** algorithm employs the scheduling mechanism by considering the energy consumption of the CPU in the virtual *** energy model is developed for picking the task based on the fitness *** simulation results show the performance of the multi-objective model with respect to makespan,DTT and energy ***-The energy aware model computes the energy based on the voltage and frequency distribution to the CPUs in the virtual *** directed acyclic graph is used to represent the task *** proposed model recorded 5% less makespan compared against the MODPSO and 0.7% less compared against the HEFT *** proposed model recorded 125 joules energy consumption for 50 VMs when all are in active ***/value-This paper proposed the multi-

关键词： Cloud computing Priority Roulette wheel selection Genetic algorithm Population

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：