Abstract
Network storage provide high scalability, availability and flexible for storage system, and are widely applied to many fields. Small I/O heavily effects performance of storage system include of network storage. Current several methods to solute this problem need theory model and but only improve write performance. In this paper, the aggregate I/O model is presented first. Moreover, we also illustrate how to apply this methodology in NAS system based on IP network. The aggregate I/O module called CFS (Chunk File System) is designed in both NAS device and customer end. In our experiment, the analysis of results shows correctness of model and an improvement made by aggregate I/O for network storage performance. Our experimental results show that CFS using aggregate I/O can improve throughput by factor of 2-4 in same response time without it.
This paper is supported by both National Natural Science Foundation of P R China under the Grant NO 60173043, NO 60273073 and National 973 Great Research Project of P R China under the Grant NO G1999033006.
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References
Gibson, G.A., Van Meter, R.: Network Attached Storage Architecture. IEEE Internet Computing 43(11), 50–58 (2001)
Zhu, Y., Hu, Y.: UCFS – A Novel User-Space, High Performance. Customized File System for Web Proxy Servers. IEEE Trans. on computers 51(9), 1056–1071 (2002)
Qiang, C., Chang-sheng, X.: The Study of the I/O Request Response Time in Network Storage System. Journal of Computer Research & Development 40(6)
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© 2003 Springer-Verlag Berlin Heidelberg
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Cao, Q., Xie, C. (2003). Apply Aggregate I/O to Improve Performance of Network Storage Based on IP. In: Zhou, X., Xu, M., Jähnichen, S., Cao, J. (eds) Advanced Parallel Processing Technologies. APPT 2003. Lecture Notes in Computer Science, vol 2834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39425-9_21
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DOI: https://doi.org/10.1007/978-3-540-39425-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20054-3
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