17-21 februar 2025
Section outline
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1. teden: Uvod v računalništvo v megli. Računalništvo v megli in z njimi povezani koncepti. Virtualizacija, federacije in druge oblike združevanja ponudnikov računalništva v oblaku. Računalniški kontinuum: internet stvari, računalništvo na robu, v megli in v oblaku. Motivacija za računalništvo v megli: tokovi masovnih podatkov - Problem štirih “V”-jev masovnih podatkov. Organizacijski in nadzorni slogi. Možnosti decentralizacije. Primeri razplastenih arhitektur. Dinamično spreminjanje obratovalnih pogojev aplikacij računalništva v megli. Energetska učinkovitost, zasebnost, varnost in druge visokonivojske zahteve. DevOps proces za razvoj aplikacij računalništva v megli. Vloga semantike pri procesu integracije. Laboratorijske vaje: Delo se bo začelo s preizkusom algoritmov in modelov globokega učenja (npr. s TensorFlow). Študentje bodo pozvani k izvedbi predloga projekta do konca tretjega tedna.
Week 1: Introduction to fog computing. Fog computing and related concepts. Virtualisation and multi-cloud environments. The computing continuum: the Internet of Things, edge, fog and cloud computing. Motivation for fog computing: Big Data pipelines – the four Vs of the Big Data problem. Organisation and control styles. Prospects of decentralisation. Related layered architectures and examples. Variability in fog computing. Energy efficiency and other high-level concerns. Overall DevOps process for delivering fog computing applications. The role of semantics in the integration process. Laboratory work: The work will begin by trying out ML models (e.g. with TensorFlow). The students will be reminded about the requirement to submit a project proposal by the end of the third week.
Unit 1: Meeting in _Lectures-2024_-20240221_084957-Meeting Recording.mp4
Unit 2: Meeting in _Meeting in _Lectures-2024_ _-20240222_174725-Meeting Recording.mp4
Unit 3: Meeting in _Lectures-2024_-20240222_184630-Meeting Recording.mp4 (sharepoint.com)
Reference raziskovalne skupine:
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1. SWITCH Workbench: https://www.sciencedirect.com/science/article/abs/pii/S0167739X1831094X
2. ENTICE VM and container images repository: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4264
3. Smart and safe construction applications: https://www.sciencedirect.com/science/article/abs/pii/S0926580521000133
4. Trust management in fog computing: https://www.sciencedirect.com/science/article/abs/pii/S0167739X19301281
5. Smart contracts for Service Level Agreements: https://link.springer.com/article/10.1007/s10723-020-09534-y
6. Requirements specification for the ENTICE environment: https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ad2fc9c0&appId=PPGMS
7. Multi-criteria decision making for Edge-to-Cloud computing: https://hrcak.srce.hr/239113
8. Current and future challenges in software engineering for services and applications: https://www.sciencedirect.com/science/article/pii/S1877050916320944?via%3Dihubs should also include analysis of the work of the cluster of software engineering including future outlook: https://eucloudclusters.files.wordpress.com/2017/11/se4sa-contribution-to-wp-2020-2027.pdf, projects: https://eucloudclusters.wordpress.com/software-engineering-for-services-and-applications/
9. Data mining in grid computing environments: https://www.sciencedirect.com/science/article/abs/pii/S0167739X07000933
10. Experiences in building a mOSAIC of clouds: https://link.springer.com/article/10.1186/2192-113X-2-12
11. EBSI use cases analysis and other relevant literature, https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/EBSI
12. Formal QoS assurances, ranking, and verification of cloud deployment options: https://www.sciencedirect.com/science/article/abs/pii/S0950584919300059?via%3Dihub
13. Monitoring self-adaptive applications in edge computing frameworks: https://www.sciencedirect.com/science/article/pii/S016412121730256X
14. Auto-scaling rules for containerized applications: https://academic.oup.com/comjnl/article/62/2/174/4993728
15. QoS for video streams: https://link.springer.com/article/10.1007/s10723-017-9415-1
16. Multi-party smart contract for an AI services ecosystem: https://onlinelibrary.wiley.com/doi/10.1002/cpe.6895
Glejte še seznam projektov: https://www.fri.uni-lj.si/sl/o-fakulteti/osebje/vlado-stankovski
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Naloženo 24/02/21, 09:11
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