Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds

B.Thirumala Rao; L.S.S.Reddy

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Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds

机译：通过基于MapReduce的云上的虚拟化计划数据密集型工作负载

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MapReduce has become a popular programming model for running data intensive applications on cloud. Completion time goals or deadlines of MapReduce jobs set by users are becoming crucial in existing cloud-based data processing environments like Hadoop. The

机译：MapReduce已成为在云上运行数据密集型应用程序的流行编程模型。用户设置的MapReduce作业的完成时间目标或截止日期在Hadoop等现有的基于云的数据处理环境中变得至关重要。的

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《International journal of computer science and network security》 |2013年第6期|共8页
作者
B.Thirumala Rao; L.S.S.Reddy;
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中图分类自动化技术、计算机技术;
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1. Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds [J] . B.Thirumala Rao, L.S.S.Reddy International journal of computer science and network security . 2013,第6期

机译：在基于MapReduce的云上通过虚拟化计划数据密集型工作负载
2. Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds [ [J] . B.Thirumala Rao, L.S.S.Reddy International Journal of Distributed and Parallel Systems . 2012,第4期

机译：在基于MapReduce的云上通过虚拟化计划数据密集型工作负载[
3. Based on the MapReduce Model for Data-intensive Computing of Energy Scheduling Algorithm Strategy [J] . Yuqiang Sun, Xin Gao, Huanhuan Cai, Research journal of applied science, engineering and technology . 2013,第22期

机译：基于MapReduce模型的数据密集型能源调度算法策略
4. A Hybrid Scheduling Algorithm for Data Intensive Workloads in a MapReduce Environment [C] . Nguyen Phuong, Simon Tyler, Halem Milton, 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing. . 2012

机译：MapReduce环境中数据密集型工作负载的混合调度算法
5. Scalable parallel computing on clouds: Efficient and scalable architectures to perform pleasingly parallel, MapReduce and iterative data intensive computations on cloud environments. [D] . Gunarathne, Thilina. 2014

机译：云上的可伸缩并行计算：高效且可伸缩的架构，可在云环境上执行令人满意的并行，MapReduce和迭代式数据密集型计算。
6. Enabling Big Geoscience Data Analytics with a Cloud-Based MapReduce-Enabled and Service-Oriented Workflow Framework [O] . Zhenlong Li, Chaowei Yang, Baoxuan Jin, -1

机译：通过基于云启用MapReduce且面向服务的工作流框架来实现大地球科学数据分析
7. Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds [O] . Rao, B. Thirumala, Reddy, L. S. S. 2012

机译：通过mapReduce上的虚拟化调度数据密集型工作负载基于云

Scheduling Data Intensive Workloads through Virtualization on MapReduce based Clouds

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