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- W2596367020 abstract "Hadoop has been widely utilized in processing a large-scale of data. Even though Hadoop-YARN has highly advanced processing performance, it still has performance limitations on heterogeneous environment. Its processing performance can be degraded when it is utilized in servers with different capabilities as well as the processes are scheduled for multiple users. To address this performance degradation problem caused by imbalanced load on heterogeneous environment, we propose an efficient vCore based container deployment algorithm that allocates the processing load for each container equally in order to minimize the deviation among processing task loads by controlling the number of vCores. The experiments show that our proposed method improved the performance on completion time by 18% on average." @default.
- W2596367020 created "2017-03-23" @default.
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- W2596367020 date "2017-01-01" @default.
- W2596367020 modified "2023-09-25" @default.
- W2596367020 title "Efficient vCore Based Container Deployment Algorithm for Improving Heterogeneous Hadoop YARN Performance" @default.
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- W2596367020 doi "https://doi.org/10.1007/978-981-10-4154-9_23" @default.
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