Abstract
With the appearance of Software as a service (SaaS), multi-tenancy data architecture has become a hot topic. Motivated by the success of multi-tenant applications, this Chapter introduces intelligent Web data management of a transparent data middleware to support multi-tenancy. This approach is transparent to the developers of cloud applications. Additionally, the analysis is discussed in detail. Finally, some expansion techniques such as extensibility, scalability and disaster recovery are introduced.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50–58.
Turner, M. J. Worldwide cloud systems management software 2014–2018 forecast. International Data Corporation, research report 247607, 2014.
Guo, C. J., Sun, W., Huang, Y., Wang, Z. H., & Gao, B. (2007, July). A framework for native multi-tenancy application development and management. In The 9th IEEE International Conference on E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007 (pp. 551–558). IEEE.
Hugos, M. H., & Hulitz, D. (2010). Business in the cloud: What Every Business Needs to Know About cloud Computing. NJ: Wiley Publisher.
Chong, F., & Carraro, G. (2006). Architecture strategies for catching the long tail. MSDN Library, Microsoft Corporation, 9-10.
Jacobs, D., & Aulbach, S. (2007). Ruminations on Multi-Tenant Databases. In BTW (Vol. 103, pp. 514–521).
Ma, K., Yang, B., & Abraham, A. (2012). A template-based model transformation approach for deriving multi-tenant saas applications. Acta Polytechnica Hungarica, 9(2), 25–41.
Chong, F., Carraro, G., & Wolter, R. (2006). Multi-tenant data architecture. MSDN Library, Microsoft Corporation.
Ma, K., & Yang, B. (2014). Multiple wide tables with vertical scalability in multitenant sensor cloud systems. International Journal of Distributed Sensor Networks, 2014.
Ma, K., Chen, Z., Abraham, A., Yang, B., & Sun, R. (2011, October). A transparent data middleware in support of multi-tenancy. In Next Generation Web Services Practices (NWeSP), 2011 7th International Conference on (pp. 1–5). IEEE.
Hu, Y., & Qu, W. (2013). Efficiently Extracting Change Data from Column Oriented NoSQL Databases. In Advances in Intelligent Systems and Applications-Volume 2 (pp. 587–598). Springer Berlin Heidelberg.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ma, K., Abraham, A., Yang, B., Sun, R. (2016). Intelligent Web Data Management of Multi-tenant Data Middleware. In: Intelligent Web Data Management: Software Architectures and Emerging Technologies. Studies in Computational Intelligence, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-30192-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-30192-1_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-30191-4
Online ISBN: 978-3-319-30192-1
eBook Packages: EngineeringEngineering (R0)