Szczegóły publikacji
Opis bibliograficzny
Indexing legacy data-sets for global access and processing in multi-cloud environments / Michał ORZECHOWSKI, Michał WRZESZCZ, Bartosz KRYZA, Łukasz DUTKA, Renata G. SŁOTA, Jacek KITOWSKI // Future Generation Computer Systems ; ISSN 0167-739X. — 2023 — vol. 148, s. 150–159. — Bibliogr. s. 158–159, Abstr. — Publikacja dostępna online od: 2023-05-26. — J. Kitowski - dod. afiliacja: Academic Computer Centre CYFRONET AGH
Autorzy (6)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147829 |
|---|---|
| Data dodania do BaDAP | 2023-08-04 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.future.2023.05.024 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Future Generation Computer Systems |
Abstract
Global data access and processing for multi-cloud applications proves challenging where there is a need for efficient access to large pre-existing, legacy data-sets. To address this problem, we created an indexing subsystem, allowing us to index and gather the metadata of legacy data-sets. The gathered information is later incorporated into a multi-cloud data management system to achieve global integration of legacy storage systems containing large data-sets. The solution is based on metadata management, organization and periodic monitoring of legacy data-sets, which makes possible scheme-less co-existence of a legacy storage system and a multi-cloud data management system for managing the same data collections. The approach has been initially evaluated in a multi-cloud deployment scenario. A large data collection consisting of legacy cultural data-sets was exposed to public and commercial infrastructure for data access and processing.
