ML-TOSCA-v2: ML pipeline modelling and orchestration using TOSCA
Organisatsiooni nimi
Mobile & Cloud Computing Laboratory
Kokkuvõte
TOSCA (Topology and Orchestration Specification for Cloud Applications) is an open-standard language used to describe the topology of cloud-based applications and services and their orchestration. On the other hand, AutoML (Automated Machine Learning) is a process that automates the end-to-end process of applying machine learning to real-world problems. This thesis would focus on further development of ML-TOSCA, a new AutoML integration approach to the TOSCA standard. Incorporating AutoML techniques into TOSCA enables users to automatically generate optimized ML models with the help of cloud applications, which can improve the speed and efficiency of model creation.
The student will further improve the current development by addressing following research challenges:
- Providing in-depth control over pipeline behaviour
- Cross-Platform Compatibility
- Workload distribution over multiple computing instances
Related MS Thesis: https://comserv.cs.ut.ee/ati_thesis/datasheet.php?id=77313
Related papers:
- https://doi.org/10.1016/j.jss.2021.111164
- https://kodu.ut.ee/~dehury/publications/conf/QUDOS-dehury-2020.pdf
The student will further improve the current development by addressing following research challenges:
- Providing in-depth control over pipeline behaviour
- Cross-Platform Compatibility
- Workload distribution over multiple computing instances
Related MS Thesis: https://comserv.cs.ut.ee/ati_thesis/datasheet.php?id=77313
Related papers:
- https://doi.org/10.1016/j.jss.2021.111164
- https://kodu.ut.ee/~dehury/publications/conf/QUDOS-dehury-2020.pdf
Lõputöö kaitsmise aasta
2023-2024
Juhendaja
Chinmaya Dehury
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Magister
Märksõnad
Kandideerimise kontakt
Nimi
Chinmaya Kumar Dehury
Tel
E-mail