I/O scheduling and performance analysis on multi-core platforms

✍ Scribed by Zhaobin Liu; Wenyu Qu; Haitao Li; Min Ruan; Wanlei Zhou

• Publisher: John Wiley and Sons
• Year: 2009
• Tongue: English
• Weight: 585 KB
• Volume: 21
• Category: Article
• ISSN: 1532-0626
• DOI: 10.1002/cpe.1421

✦ Synopsis

Abstract

Multi‐core platforms are being widely used in many technology areas. These technology shifts not only provide a compute‐intensive service, but also require us to improve the I/O‐intensive service in performance. However, the existing I/O scheduling approaches lack either quantitative analysis or workload adaptability. These approaches become worse when the application scenarios have either diverse I/O tasks or heterogeneous multi‐cores. Based on the analysis of traditional software pipelining technology, we first propose a reverse interleaved pipelining scheduling strategy to decrease the total I/O execution time and balance the workloads of homogeneous processors in this paper. Theoretical analysis shows that this balancing strategy is fair. As for the heterogeneous processors' circumstance, a Self‐adaptive scheduling method is presented for selecting one of the most‐appropriate multi‐core services for the expected I/O tasks. Simulation studies show that the performance of this scheduling strategy self‐adapts to application and multi‐core diversity well. Copyright © 2009 John Wiley & Sons, Ltd.