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Mobile Number Portability Using a Reliable Cloud Database Appliance to Match Predictable Performance

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

Abstract

The great interest for deploying applications in cloud infrastructures is rapidly growing due to its convenience and ease of use. Despite, the large number of different applications migrated to cloud, there are still applications that are not frequently met on cloud infrastructures. Applications defined as time critical or data-intensive are applications of this kind. The need of high resilience alongside with high performance lead these types of applications to run on mainframes, rather than on cloud infrastructures, as cloud is not able to satisfy them under strict Service Level Agreements (SLAs) and without predictable performance. To investigate further this area this paper aims to report on the research issues around time critical and data-intensive applications deployed on cloud and present Mobile Number Portability (MNP) Use Case migration to cloud with predictable performance.

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References

  1. Italian Communications Authority AGCOM: Italian communications authority. https://www.agcom.it

  2. Cloud Database Appliance CDBA: Cloud Database Appliance. https://clouddb.eu

  3. LeanXcale: LeanXcale. https://www.leanxcale.com

  4. Atos: ATOS. https://atos.net

  5. In-memory analytical database. https://activeviam.com. ActiveViam. https://atos.net

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Acknowledgement

This research has been funded by the European Union’s Horizon 2020 research and innovation programme under the project CloudDBAppliance (H2020- grant agreement No. 732051).

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Correspondence to Themistocleous Marinos .

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Leonidas, K., Marinos, T., Roberto, G. (2019). Mobile Number Portability Using a Reliable Cloud Database Appliance to Match Predictable Performance. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_17

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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