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Towards Sustainable Software Infrastructures for Data-Intensive Systems

Guillaume Fieni 1 Romain Rouvoy 1, 2 Lionel Seinturier 1
1 SPIRALS - Self-adaptation for distributed services and large software systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Distributed environments are heavily used by nowadays data-intensive software systems to process continuous flows of data produced by a large number of devices (smartphones, IoT, cameras, etc.). While growing complexity, these distributed systems are required to mitigate two key concerns: security and energy. On the one hand, when offloading data processing to the cloud, the application may require security guarantees from the cloud providers in order to avoid privacy and security leaks. On the other hand, the cloud provider aims at continuously improving the energy efficiency of the cloud infrastructure by optimizing the resource usage. This PhD thesis therefore explores the security/energy trade-offs and optimizations that can be considered when deploying data-intensive software systems in distributed environments. In particular, this PhD thesis aims at exploiting all the possible levers that maximize the security of a data-intensive system while minimizing its power consumption.
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Submitted on : Thursday, May 3, 2018 - 10:44:14 AM
Last modification on : Thursday, January 20, 2022 - 5:29:04 PM
Long-term archiving on: : Monday, September 24, 2018 - 7:16:55 PM


  • HAL Id : hal-01784225, version 1


Guillaume Fieni, Romain Rouvoy, Lionel Seinturier. Towards Sustainable Software Infrastructures for Data-Intensive Systems. EuroDW 2018 - 12th EuroSys Doctoral Workshop, Apr 2018, Porto, Portugal. ⟨hal-01784225⟩



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