Abstract
In this paper, we present a distributed multi-level cache system based on cloud storage, which is aimed at the low access efficiency of small spatio-temporal data files in information service system of Smart City. Taking classification attribute of small spatio-temporal data files in Smart City as the basis of cache content selection, the cache system adopts different cache pool management strategies in different levels of cache. The results of experiment in prototype system indicate that multi-level cache in this paper effectively increases the access bandwidth of small spatio- temporal files in Smart City and greatly improves service quality of multiple concurrent access in system.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Li D R, Yao Y, Shao Z F. Big Data in Smart City[J]. Geomatics and Information Science of Wuhan University, 2014, 39(6): 631–640(Ch).
Li X, Dong B, Xiao L, et al. Adaptive trade off in metadatabased small file optimizations for a cluster files system [J]. International Journal of Numerical Analysis and Modeling, 2012, 9(2): 289–303.
Liu X J, XU Z Q, Pan S M. A massive small file storage solution combination of RDBMS and hadoop [J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 113–115(Ch).
Xiong L, Xu Z Q, Wang T, et al. On the store strategy of small spatio-temporal data files in cloud environment [J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1251–1255(Ch).
Wang T, Yao S H, Xu Z Q, et al. A small file merging and prefetching strategy based on access task in cloud storage[J]. Geomatics and Information Science of Wuhan University, 2013, 38(12): 1504–1508(Ch).
Ban Z J, Gu Z M, Jin Y. A survey of Web prefetching [J]. Journal of Computer Research and Development, 2009, 46 (2): 202–210(Ch).
Li H S, Zhu X Y, Li J W, et al. Research on spatial data distributed cache technology in WebGIS [J]. Geomatics and Information Science of Wuhan University, 2005, 30(12): 1092–1095(Ch).
Podlipnig S, Böszörmenyi L. A survey of Web cache replacement strategies [J]. ACM Computing Surveys, 2003, 35(4): 374–398.
Fan L, Cao P, Almeida J, et al. Summary cache: A scalable wide-area web cache sharing protocol [J]. IEEE/ACM Transactions on Networking (TON), 2000, 8 (3): 281–293.
Cao P, Irani S. Cost-aware WWW proxy caching algorithms [C]// Proceedings of the 1997 USENIX Symposium on Internet Technology and Systems. Washing D C: IEEE Press, 1997: 193–206.
Breslau L, Cao P, Fan L, et al. Web caching and Zipf-like distributions: Evidence and implications [C]// INFOCOM'99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Washington D C: IEEE, 1999: 126–134.
Deshpande M, Karypis G. Selective Markov models for predicting Web page accesses [J]. ACM Transaction on Internet Technology, 2004, 4(2):163–184.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: Supported by the Natural Science Foundation of Hubei Province (2012FFC034, 2014CFC1100)
Rights and permissions
About this article
Cite this article
Xu, X., Hu, Z. & Liu, X. Multi-level cache system of small spatio-temporal data files based on cloud storage in Smart City. Wuhan Univ. J. Nat. Sci. 22, 387–394 (2017). https://doi.org/10.1007/s11859-017-1263-0
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11859-017-1263-0