Performance Evaluation of the SSD-based Swap System for Big Data Processing
- Title
- Performance Evaluation of the SSD-based Swap System for Big Data Processing
- Author
- 강수용
- Keywords
- Communication, Networking and Broadcast Technologies; Computing and Processing; General Topics for Engineers; Signal Processing and Analysis; Performance evaluation; Runtime; Big data; Memory management; Operating systems; Ash; Random access memory; Storage; Big Data Processing; Swap; Solid State Drive; MapReduce
- Issue Date
- 2014-09
- Publisher
- IEEE
- Citation
- 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2014, P.673-680
- Abstract
- Solid State Drives (SSDs) are quickly replacing HDDs not only in laptops but also in servers. Since SSD uses semiconductor, i.e., NAND flash memory, as its storage medium, it locates itself between memory and storage: it is faster but more expensive than HDD, and slower but cheaper than DRAM. Meanwhile, big data processing systems require both faster storage and larger memory. While lots of works have been conducted on evaluating the performance enhancement in big data processing systems by replacing HDD with SSD, the effect of SSD as a simple memory extension, i.e., Swap device, has not been studied, sufficiently. In this paper, we investigate the feasibility of using SSD as a swap device for big data processing systems through extensive experiments. Experimental results show that 1) incredibly large amount of IO's are issued to swap device when the physical memory cannot accommodate all data for processing, 2) SSD processes IO's to a swap device significantly faster than HDD, 3) using SSD as a storage device is a far better choice than using it as a swap device, and 4) enterprise SSD is not cost effective when it is used as a swap device.
- URI
- http://ieeexplore.ieee.org/document/7011311/http://hdl.handle.net/20.500.11754/57467
- ISBN
- 978-1-4799-6513-7; 978-1-4799-6514-4
- ISSN
- 2324-898X; 2324-9013
- DOI
- 10.1109/TrustCom.2014.87
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML