원문정보
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초록
영어
As the access speed gap between DRAM and storage devices such as hard disk drives is ever widening, the I/O module dominantly becomes the system bottleneck. Meanwhile, the map-reduce parallel programming model has been actively studied for the last few years. In this paper, we will show empirically show that flash memory based SSD(Solid State Drive) is very beneficial when used as local storage devices in IO-intensive map-reduce applications (e.g. sorting) using Hadoop open source platform. Specifically, we present that external sorting algorithm in Hadoop with SSD can outperform the algorithm run with hard disk by more than 3. In addition, we also demonstrate that the power consumption can be drastically reduced when SSDs are used.
목차
Abstract
1. Introduction
2. Hadoop Structure
3. SSD (Solid State Disk)
4. Performance Test
4.1. Sort Benchmark
4.2. Join Benchmark
4.3. Optimizing Hadoop
4.4. Other Benchmarks
4.5. Electricity Consumption
5. Conclusion
Acknowledgements
References
1. Introduction
2. Hadoop Structure
3. SSD (Solid State Disk)
4. Performance Test
4.1. Sort Benchmark
4.2. Join Benchmark
4.3. Optimizing Hadoop
4.4. Other Benchmarks
4.5. Electricity Consumption
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보