Abstract
Flash-memory based solid state disks, though currently more expensive and inadequate in write cycles, offer much faster read accesses while consume much less energy compared with hard disk drives. In order to gain complementary merits of hard disks and flash disks, we propose a hybrid disk array based storage architecture for data-intensive server-class applications. Further, on top of the proposed storage architecture, a self- adaptive f ile rea llocation strategy, called SAIL, which is able to adapt to dynamically changed file access patterns, is developed. Comprehensive trace-driven experiments demonstrate that compared with a very recent file placement technique PB-PDC, which also employs the combined advantages of a hard disk and a flash memory device, SAIL exhibits its strength in both performance and energy consumption while maintains the reliability of flash disks by confining their write cycles.
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References
Arlitt, M., Williamson, C.: Web server workload characterization: the search for invariants. In: ACM SIGMETRICS Conference, pp. 126–137. ACM Press, New York (1996)
Arnan, R., Bachmat, E., Lam, T.K., Michel, R.: Dynamic data reallocation in disk arrays. ACM Transactions on Storage 3(1), 2 (2007)
Bisson, T., Brandt, S.: Reducing energy consumption with a non-volatile storage cache. In: International Workshop on Software Support for Portable Storage, New York (2005)
Cash, K.: Flash Solid State Disks - Inferior Technology or Closet Superstar? BiTMICRO Networks, http://www.storagesearch.com/bitmicro-art1.html
Chang, L.P., Kuo, T.W.: Efficient management for large-scale flash-memory storage systems with resource conservation. ACM Transactions on Storage 1(4), 381–418 (2005)
Cheetah 15K.4 Mainstream enterprise disc drive storage, http://www.seagate.com/content/docs/pdf/marketing/Seagate_Cheetah_15K-4.pdf
Chen, F., Jiang, S., Zhang, X.: SmartSaver: Turning Flash Drive into a Disk Energy Saver for Mobile Computers. In: International Symposium on Low Power Electronics and Design, pp. 412–417. IEEE Press, New York (2006)
Dahlin, M.D., Wang, R.Y., Anderson, T.E., Patterson, D.A.: Cooperative caching: using remote client memory to improve file system performance. In: USENIX Operating Systems Design and Implementation, vol. 1, Article No. 19 (1994)
Dowdy, W., Foster, D.: Comparative Models of the File Assignment Problem. ACM Computing Surveys 14(2), 287–313 (1982)
Fitzgerald, A.: Flash Disk Reliability Begins at the IC Level. COTS Journal, http://www.cotsjournalonline.com/home/article.php?id=100053
Goyal, P., Jadav, D., Modha, D.S., Tewari, R.: CacheCOW: providing QoS for storage system caches. In: SIGMETRICS Conference, pp. 306–307. ACM Press, New York (2003)
Hsieh, J.W., Kuo, T.W., Chang, L.P.: Efficient Identification of Hot Data for Flash Memory Storage Systems. ACM Transactions on Storage 2(1), 22–40 (2006)
Kawaguchi, A., Nishioka, S., Andmotoda, H.: A flash-memory-based file system. In: USENIX Technical Conference, pp. 155–164 (1995)
Kim, H., Lee, S.G.: A new flash-memory management for flash storage system. In: The 23rd International Computer Software and Applications Conference, pp. 284–289 (1999)
Kim, Y.J., Kwon, K.T., Kim, J.: Energy-efficient file placement techniques for heterogeneous mobile storage systems. In: The 6th ACM & IEEE International Conference on Embedded Software, pp. 171–177 (2006)
Lee, L.W., Scheuermann, P., Vingralek, R.: File assignment in parallel I/O systems with Minimal Variance of Service Time. IEEE Transactions on Computers 49(2), 127–140 (2000)
Pinheiro, E., Bianchini, R.: Energy Conservation Techniques for Disk Array-Based Servers. In: International Conference for High Performance computing, Networking, Storage and Analysis (Supercomputing 2004), pp. 88–95 (2004)
Product Specification, Adtron A25FB-20 Flashpak Data Storage, http://www.adtron.com/pdf/A25FB-20-sum052908.pdf
Roselli, D., Lorch, J.R., Anderson, T.E.: A Comparison of File System Workloads. In: USENIX Technical Conference, pp. 44–54 (2000)
Scheuermann, P., Weikum, G., Zabback, P.: Data partitioning and load balancing in parallel disk systems. The International Journal on Very Large Data Bases 7(1), 48–66 (1998)
Storage Products, A25FB-20-R2spec101507.pdf
Weikum, G., Zabback, P., Scheuermann, P.: Dynamic file allocation in disk arrays. ACM SIGMOD 20(2), 406–415 (1991)
Xie, T.: SOR: A Static File Assignment Strategy Immune to Workload Characteristic Assumptions in Parallel I/O Systems. In: The 36th International Conference on Parallel Processing. IEEE Press, New York (2007)
Xie, T., Sun, Y.: No More Energy-Performance Trade-Off: A New Data Placement Strategy for RAID-Structured Storage Systems. In: The 14th Annual IEEE International Conference on High Performance Computing, pp. 35–46. Springer, Heidelberg (2007)
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Xie, T., Madathil, D. (2008). SAIL: Self-Adaptive File Reallocation on Hybrid Disk Arrays. In: Sadayappan, P., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing - HiPC 2008. HiPC 2008. Lecture Notes in Computer Science, vol 5374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89894-8_46
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DOI: https://doi.org/10.1007/978-3-540-89894-8_46
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