Energy-Efficient Task Scheduling for CPU-Intensive Streaming Jobs on Hadoop
IEEE Transactions on Parallel and Distributed Systems（2019）
摘要
Hadoop, especially Hadoop 2.0, has been a dominant framework for real-time big data processing. However, Hadoop is not optimized for energy efficiency. Aiming to solve this problem, in this paper, we propose a new framework to improve the energy efficiency of Hadoop 2.0. We focus on the resource manager in Hadoop 2.0, namely YARN, and propose energy-efficient task scheduling mechanisms on YARN. Pa...
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关键词
Task analysis,Energy efficiency,Yarn,Energy consumption,Processor scheduling,Servers,Big Data
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