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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shengsheng Huang Jie Huang Jinquan Dai Tao Xie Bo Huang |
| Copyright Year | 2010 |
| Description | Author affiliation: Intel China Software Center, Shanghai, P.R. China, 200241 (Shengsheng Huang; Jie Huang; Jinquan Dai; Tao Xie; Bo Huang) |
| Abstract | The MapReduce model is becoming prominent for the large-scale data analysis in the cloud. In this paper, we present the benchmarking, evaluation and characterization of Hadoop, an open-source implementation of MapReduce. We first introduce HiBench, a new benchmark suite for Hadoop. It consists of a set of Hadoop programs, including both synthetic micro-benchmarks and real-world Hadoop applications. We then evaluate and characterize the Hadoop framework using HiBench, in terms of speed (i.e., job running time), throughput (i.e., the number of tasks completed per minute), HDFS bandwidth, system resource (e.g., CPU, memory and I/O) utilizations, and data access patterns. |
| Starting Page | 41 |
| Ending Page | 51 |
| File Size | 582325 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781424465224 |
| e-ISBN | 9781424465231 |
| e-ISBN | 9781424465217 |
| DOI | 10.1109/ICDEW.2010.5452747 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Fault tolerance Data analysis Bandwidth Throughput Explosives Large-scale systems Resource management Personal communication networks Open source software |
| Content Type | Text |
| Resource Type | Article |
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