Securing the Execution of ML Workflows across the Compute Continua

Research output: Contribution to conferencesPaperContributedpeer-review

Contributors

  • André Martin - , Chair of Systems Engineering (Author)
  • Francesc-Josep Lordan Gomis - , Barcelona Supercomputing Center (Author)
  • Daniele Lezzi - , Barcelona Supercomputing Center (Author)

Abstract

Cloud computing has become the major computational paradigm for the deployment of all kind of applications, ranging from mobile apps to complex AI algorithms. On the other side, the rapid growth of IoT market has led to the need of processing the data produced by smart devices using their embedded resources. The computing continuum paradigm aims at solving the issues related to the deployment of applications across edge-to-cloud cyber-infrastructures.This work considers in-memory data protection to enhance security over the compute continua and proposes a solution for the development of distributed applications that handles security in a transparent way for the developer. The proposed framework has been evaluated using an ML application that classifies health data using a pre-trained model. The results show that securing in-memory data incurs no additional effort at development time and the overheads introduced by the encryption mechanisms do not compromise the scalability of the application.

Details

Original languageEnglish
Number of pages8
Publication statusPublished - 2023
Peer-reviewedYes

Conference

Title14th ACM/SPEC International Conference on Performance Engineering
Abbreviated titleICPE 2023
Conference number14
Duration15 - 19 April 2023
Website
Degree of recognitionInternational event
LocationHotel Quinta das Lágrimas
CityCoimbra
CountrySpain

Keywords

Research priority areas of TU Dresden

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