Abstract
With the rapid development of modern information technology, small and medium sized enterprises gradually show the trend of large-scale exchange and sharing of information, and the previous information architecture cannot meet the needs of the application. Based on the comprehensive analysis of business requirements and related technologies, a small and medium-sized enterprise information platform based on cloud storage technology is established, which makes the system have the advantages of loose coupling, powerful and easy to expand in this paper. The architecture includes cloud storage, a number of basic services and basic application support system. In this paper, the module design and data access design for these services and application systems are presented, which provides a theoretical reference for the development of the system.
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References
Warnars, S.: Game information system. Int. J. Comput. Sci. Inf. Technol. 12(6), 11–13 (2010)
Kivinen, T., Lammintakanen, J.: The success of a management information system in health care - a case study from Finland. Int. J. Med. Inform. 33(6), 22–25 (2012)
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the clouds: a Berkeley view of cloud computing, pp. 1–6 (2016)
Kc, K., Anyanwu, K.: Scheduling Hadoop jobs to meet deadlines. In: IEEE 2nd International Conference Cloud Computing Technology and Science, pp. 388–392 (2010)
Dong, X.C., Wang, Y., Liao, H.M.: Scheduling mixed real-time and non-real-time applications in map reduce environment. In: 17th International Conference on Parallel and Distributed Systems. IEEE (2011)
Baker, J., Bond, C.: Megastore: providing scalable, highly available storage for interactive services. In: Proceedings of the 5th Biennial Conference on Innovative Data System Research, pp. 223–224 (2011)
Chang, F., De Dean, J., Ghemawat, S., et al.: Bigtable: a distributed storage system for structured data. In: Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation, Seattle, USA, pp. 205–218 (2016)
Armbrust, M., Fox, A.: Above the clouds: a Berkeley view of cloud computing. Technical report no. UCB/EECS-2009–28, vol. 6, no. 2, pp. 3–5. University of California at Berkley, USA (2009)
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Yu, S., Tang, Y., Wang, C. (2017). Construction Research on Information Platform for Small and Medium-Sized Enterprises Based on Cloud Storage Technology. In: Wang, G., Atiquzzaman, M., Yan, Z., Choo, KK. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2017. Lecture Notes in Computer Science(), vol 10658. Springer, Cham. https://doi.org/10.1007/978-3-319-72395-2_70
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DOI: https://doi.org/10.1007/978-3-319-72395-2_70
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