41 to 50 of 61 Results
Dec 7, 2021 - Arvutiteaduse andmed
Dehury, Chinmaya Kumar; Chhetri, Tek Raj; Lind, Artjom; Srirama, Satish Narayana; Fensel, Anna, 2021, "HPC Cloud traces for better cloud service reliability", https://doi.org/10.23673/RE-300, DATADOI, V1
This data is in support of the research on "A combined system metrics approach to cloud service reliability using artificial intelligence" (doi: 10.20944/preprints202111.0548.v1) |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
ZIP Archive - 108.4 MB -
MD5: c666a71f98376ba80b3a3112ecdd47ad
Contains the actual data in CSV and the code to anonymise the sesitive data. |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
HTML - 1.4 KB -
MD5: 72348ee90b7662e869e642f00d89cc96
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid.
Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent... |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
Plain Text - 2.7 KB -
MD5: f39cf0e1384e3bd39d931aefce86c262
Readme for the actual data present in "Anonymize_data_V2" zip file. |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
Plain Text - 2.2 KB -
MD5: 85f337cb091ad054cc2f767adfc4cba3
Readme for the source code present in "Source_code_V1" zip file. |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
Plain Text - 1.4 KB -
MD5: b6baf2041c379033d646e444ff8982d3
Information about this data, project, and contributors. |
Dec 7, 2021 -
HPC Cloud traces for better cloud service reliability
ZIP Archive - 10.3 KB -
MD5: 271fcf408d2a73b593e783ee2dbf93de
Contains the source code used in the paper "A Combined Metrics Approach to Cloud Service Reliability using Artificial Intelligence". |
Nov 24, 2021 - Arvutiteaduse andmed
Seeba, Mari, 2021, "Eesti Infoturbestandardi (E-ITS) põhine turbe hindamise instrument / Estonian Information security Standard (E-ITS) based security level evaluation instrument", https://doi.org/10.23673/RE-298, DATADOI, V1
Alusinstrument uuringule / tool for research The tool is designed to evaluate the information security level of organizations or business processes. The tool is based on the maturity model framework using the Estonian Information Security Standard (E-ITS) content. See https://eits.ria.ee/. Instrument on mõeldud organisatsioonide või äriprotsesside... |
Adobe PDF - 136.3 KB -
MD5: 9807697af9f343c57e4c9d1799e8f962
Esmane pilootversioon |
Adobe PDF - 135.9 KB -
MD5: 840586dbf4e1696309774d6d802e02c9
Teine iteratioon |
