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Title:Varno izvajanje evolucijskih algoritmov na platformi EARS : magistrsko delo
Authors:ID Vipotnik, Matic (Author)
ID Črepinšek, Matej (Mentor) More about this mentor... New window
ID Ravber, Miha (Co-mentor)
Files:.pdf MAG_Vipotnik_Matic_2022.pdf (2,59 MB)
MD5: BE5F47F4D0353B284FDB5B11359F8D33
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrskem delu smo implementirali platformo za varno izvajanje naloženih evolucijskih algoritmov. Uporabnikom omogoča, da naložijo programsko kodo, katera se neodvisno, brez interneta zažene v zabojniku. Z zabojnikom dosežemo zelo veliko varnost gostitelja, saj po vsakem zaključku naložene programske kode pobrišemo tako zabojnike kot vse procese, povezane z njim. Po zaključnem zagonu naložene programske kode zna platforma pravilno razvrstiti naloženo kodo v mape, ločiti med predolgimi zagoni, pravilnimi zagoni in zagoni z nepravilnimi rezultati. Natančno smo opisali uporabljene tehnologije in postopke implementacije ter opravili test odzivnosti sistema ob velikih obremenitvah.
Keywords:docker, EARS, evolucijski algoritmi, izvajalno okolje, programerska tekmovanja
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Vipotnik]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XII, 55 f.))
PID:20.500.12556/DKUM-83301 New window
UDC:004.8.021(043.2)
COBISS.SI-ID:146441731 New window
Publication date in DKUM:24.11.2022
Views:354
Downloads:57
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.10.2022

Secondary language

Language:English
Title:Secure execution of evolutionary algorithms on the EARS platform
Abstract:In the master's thesis, we implemented a platform that enables the safe execution of user’s evolutionary algorithms. It allows users to upload software code that runs independently, without the Internet, in a container. With the container, we achieve a very high security of the host, because after each completion of the loaded software code, we delete the containers and all the processes connected to it. After the final launch of the uploaded software code, the platform can correctly classify the uploaded code into folders. It can distinguish between excessively long runs, correct runs and runs with incorrect results. We have described in detail the technologies used and the implementation procedures. We also conducted a test where we checked the responsiveness of the system under heavy loads.
Keywords:docker, EARS, evolution algorithms, execution environment, programing competitions


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