Abstract
This paper presents complex contexts, rule-matrix and SaaS application inter-working service framework for user targeting service. They are key components in order to decide what SaaS service are needed and how those SaaS application are interworked for user’s convenience. The user targeting is performed according to user’s property and status of user. The complex context is set of information about who user is, what status is and what SaaS application is. The complex context consists of User Description (UD), Status Description (SD), SaaS Application Description (SSD). Simply, UD is what user is, SD is what user’s status is, and SSD is what property of SaaS Application is. The rule-matrix is a set of rules that explain how each SaaS application is interoperated. The SaaS application interworking service framework is an architecture that include all modules for managing SaaS application inter-working service. It collects complex contexts (UD, SD, SSD) in order to choose which SaaS applications are useful, analyze what functions to use, how to interwork and recommend the best rule to user.
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References
Kim, H.K., Choi, S.: A study of policy fostering for cloud service brokerage. J. Int. Conf. Convergence Technol. 5(1), 386–387 (2015)
Cloud Service Brokerage - a quick guide to aggregation (2015). https://www.linkedin.com/pulse/cloud-service-brokerage-quick-guide-aggregation-nielsen-marsh
Kalagiakos, P.: Cloud computing learning. In: 2011 5th International Conference on Application of Information and Communication Technologies (AICT), Baku, pp. 1–4 (2011). https://doi.org/10.1109/ICAICT.2011.6110925
About IFTTT (2014). https://ifttt.com/wtf
Connect your apps and automate workflows (2014). https://zapier.com/
Jung, J.J., Kim, M.J.: The Proposal of Development of SaaS Aggregation Technology for Cloud Service Mashup, IITP (2016)
Santosh, K., Goudar, R.H.: Cloud computing-research issues, challenges, architecture, platforms and applications: a survey. Int. J. Future Comput. Commun. 1(4), 356–360 (2012)
Zhang, S., Zhang, S.F., Chen, X.B., Huo, X.Z.: Cloud computing research and development trend. In: Proceedings of the 2010 Second International Conference on Future Networks (ICFN 2010), pp. 93–97. IEEE Computer Society, Washington, DC (2010). https://doi.org/10.1109/ICFN(2010)
Express web application framework for node. http://expressjs.com/
Keum, S.W.: The Method of User Interface and IoT Control in Broadcasting Devices, vol. 20.1 (2015). Special Edition of Broadcast and Media
Acknowledgment
This work was supported by a grant from Institute for Information & Communications Technology Promotion (IITP) funded by the Korea government (MSIT) (No. R0113-17-0008) “Development of SaaS Aggregation Technology for Cloud Service Mashup”.
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Jung, JJ., Cui, Y., Kim, M. (2018). User Targeting SaaS Application Interworking Service Framework Using Complex Context and Rule-Matrix. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_104
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DOI: https://doi.org/10.1007/978-981-10-7605-3_104
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