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Themis - Trustworthy and Sustainable Code Offloading

Themis - Trustworthy and Sustainable Code Offloading

Ivona Brandic (ORCID: 0000-0001-7424-0208)
  • Grant DOI 10.55776/PAT1668223
  • Funding program Principal Investigator Projects
  • Status ongoing
  • Start May 1, 2024
  • End April 30, 2027
  • Funding amount € 483,007
  • Project website
  • E-mail

Disciplines

Other Technical Sciences (20%); Computer Sciences (80%)

Keywords

    Edge Computing, Sustainable ICT, Geographically distributed machine learning, Code Offloading, Fault tolerance

Abstract

The goal of Themis project is to devise fundamentals for the new groundbreaking generation of geographically distributed probabilistic operating systems unifying computation and communication facilities. The idea is to instantly offload arbitrary portions of the code from the end device (like the IoT sensors) to the arbitrary computational surrogates that might be an idle node, your personal laptop, a raspberry pi or any other computational facility. The challenge is to achieve sustainability, while facilitating low latency of hyper heterogeneous, highly volatile tactile Internet applications. Our ambitions in Themis are enabled by the recent developments in Edge computing, a new concept bringing computation and data storage closer to the location where it is needed and by probabilistic large scale near real time systems relying on Markov Chains -- both areas pioneered by the PI. Besides very concrete use cases within intelligent traffic management and hybrid classic/quantum architectures, we identified the innovation potential in the area of Microgrids and Earth Science.

Research institution(s)
  • Technische Universität Wien - 100%
Project participants
  • Thomas Monz, Universität Innsbruck , national collaboration partner
International project participants
  • Ewa Deelman, University of Southern California - USA

Research Output

  • 30 Citations
  • 8 Publications
Publications
  • 2025
    Title Decentralized Edge Workload Forecasting With Gossip Learning
    DOI 10.1109/tnsm.2025.3570450
    Type Journal Article
    Author Tundo A
    Journal IEEE Transactions on Network and Service Management
    Pages 1-1
    Link Publication
  • 2024
    Title RIGOLETTO: A Workflow Definition Language for Hybrid Quantum-Classical Scientific Applications
    DOI 10.1109/cbi62504.2024.00015
    Type Conference Proceeding Abstract
    Author De Maio V
    Pages 40-49
  • 2024
    Title On Optimizing Hyperparameters for Quantum Neural Networks
    DOI 10.1109/qce60285.2024.00174
    Type Conference Proceeding Abstract
    Author Herbst S
    Pages 1478-1489
    Link Publication
  • 2024
    Title Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
    DOI 10.1109/icpads63350.2024.00097
    Type Conference Proceeding Abstract
    Author Chu X
    Pages 710-719
    Link Publication
  • 2024
    Title ABBA-VSM: Time Series Classification Using Symbolic Representation on the Edge
    DOI 10.1007/978-981-96-0805-8_3
    Type Book Chapter
    Author Kanatbekova M
    Publisher Springer Nature
    Pages 38-53
  • 2024
    Title Paving the way to hybrid quantum–classical scientific workflows
    DOI 10.1016/j.future.2024.04.030
    Type Journal Article
    Author Cranganore S
    Journal Future Generation Computer Systems
    Pages 346-366
    Link Publication
  • 2024
    Title Machine Learning Workflows in the Computing Continuum for Environmental Monitoring
    DOI 10.1007/978-3-031-63775-9_27
    Type Book Chapter
    Author Catalfamo A
    Publisher Springer Nature
    Pages 368-382
  • 2024
    Title The computing continuum: From IoT to the cloud
    DOI 10.1016/j.iot.2024.101272
    Type Journal Article
    Author Al-Dulaimy A
    Journal Internet of Things
    Pages 101272
    Link Publication

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