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In-cloud Migration of a Custom and Automatic Booking System

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Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 451)

Abstract

Nowadays the advancement of technologies such as the Internet of Things and Machine Learning has allowed the development of increasingly complex systems to simplify and automate countless different processes. On the other hand, the affirmation of Cloud Computing, and therefore the delivery of different services through the Internet as tools and applications like data storage, servers, databases, networking, and software has made it possible to reach even higher levels in terms of cost savings, increased productivity, speed and efficiency, performance, and security.

This paper illustrates the practical example of the possible On-Cloud migration of an On-premise application, using the services and patterns offered by Amazon. The application in exam has the purpose of automatically managing access and booking of a room, and possibly a parking lot, in a tourist complex. Since the original project did not foresee mechanisms of autoscaling of the computational resources, there is no monitoring mechanism or database redundancy, the usage of a Cloud approach was necessary to make possible the automatic scaling of resources based on the unpredictable load of requests from the users of the platform and to achieve performance, security and availability increase of the whole system.

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  • DOI: 10.1007/978-3-030-99619-2_17
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Notes

  1. 1.

    https://www.cloudcomputingpatterns.org/.

  2. 2.

    https://www.opentosca.org/.

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Acknowledgments

The work described in this paper has been supported by the Project VALERE “SSCeGov - Semantic, Secure and Law Compliant e-Government Processes”.

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Correspondence to Mariangela Graziano .

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Di Martino, B., Graziano, M., Gracco, S.A. (2022). In-cloud Migration of a Custom and Automatic Booking System. In: Barolli, L., Hussain, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2022. Lecture Notes in Networks and Systems, vol 451. Springer, Cham. https://doi.org/10.1007/978-3-030-99619-2_17

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