SAC： Exploiting Stable Set Model to Enhance CacheFiles

• Published in: Journal of computer science and technology Vol. 29; no. 2; pp. 293 - 302
• Main Author: 刘建亮 张永乐 杨琳 郭明阳 刘振军 许鲁
• Format: Journal Article
• Language: English
• Published: Boston Springer US 2014; Springer Nature B.V; University of Chinese Academy of Sciences, Beijing 100049, China%Department of Electrical and Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada%Data Storage and Management Technology Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; Data Storage and Management Technology Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
• Subjects: Artificial Intelligence; Benchmarks; Cache; Computer Science; Computer simulation; Data exchange; Data Structures and Information Theory; Datasets; Design engineering; Experiments; Faults; Information Systems Applications (incl.Internet); Linux; Management; Optimization; Phase transitions; Policies; R&D; Regular Paper; Research & development; Science; Software Engineering; SSM; Studies; Theory of Computation; UNIX (operating system); 存储系统; 开发利用; 执行时间; 稳定集; 缓存系统; 耦合设计; United States > US; CacheFiles; Stable Set Model; cache management
• DOI: 10.1007/s11390-014-1431-z
• ISSN: 1000-9000

Client cache is an important technology for the optimization of distributed and centralized storage systems. As a representative client cache system, the performance of CacheFiles is limited by transition faults. Furthermore, CacheFiles just supports a simple LRU policy with a tightly-coupled design. To overcome these limitations, we propose to employ Stable Set Model （SSM） to improve CacheFiles and design an enhanced CacheFiles, SAC. SSM assumes that data access can be decomposed to access on some stable sets, in which elements are always repeatedly accessed or not accessed together. Using SSM methods can improve the cache management and reduce the effect of transition faults. We also adopt loosely- coupled methods to design prefetch and replacement policies. We implement our scheme on Linux 2.6.32 and measure the execution time of the scheme with various file I/O benchmarks. Experiments show that SAC can significantly improve I/O performance and reduce execution time up to 84%0, compared with the existing CacheFiles.