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Content Provider | IEEE Xplore Digital Library |
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Author | Zhaoning Zhang Kui Wu Huiba Li Jinghua Feng Yuxing Peng Xicheng Lu |
Copyright Year | 2014 |
Description | Author affiliation: Comput. Sci. Dept., Univ. of Victoria, Victoria, BC, Canada (Kui Wu) || Nat. Super Comput. Center, Tianjin, China (Jinghua Feng) || Nat. Key Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China (Zhaoning Zhang; Huiba Li; Yuxing Peng; Xicheng Lu) |
Abstract | Virtualization is the foundation for cloud computing, and the virtualization can not be achieved without software defined, elastic, flexible and scalable virtual layers. Unfortunately, if multiple virtual storage devices are chained together, the system may be subject to severe performance degradation. While the read-ahead (RA) mechanism in storage devices plays a very important role to improve I/O performance, RA may not be effective as expected for multiple virtualization layers, since it is originally designed for one layer only. When I/O requests are passed through a long I/O path, they may trigger a chain reaction and lead to unnecessary data transmission and thus bandwidth waste. In this paper, we study the dynamic behavior of RA through multiple I/O layers and demonstrate that if controlled well, RA can greatly accelerate I/O speed. We present RAFlow, a RA control mechanism, to effectively improve I/O performance by strategically expanding RA window at each layer. Our real-world experiments show that it can achieve 20% to 50% performance improvement in I/O paths with up to 8 virtualized storage devices. |
Starting Page | 33 |
Ending Page | 42 |
File Size | 594152 |
Page Count | 10 |
File Format | |
ISBN | 9781479940875 |
DOI | 10.1109/NAS.2014.13 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-08-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Performance evaluation Degradation I/O Performance Cloud Computing Distributed databases IaaS Storage Benchmark testing Acceleration Synchronization Read ahead Radio access networks |
Content Type | Text |
Resource Type | Article |
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