A survey on data storage and placement methodologies for Cloud-Big Data ecosystem

Erstveröffentlichung
2019Authors
Mazumdar, Somnath
Seybold, Daniel
Kritikos, Kyriakos
Verginadis, Yiannis
Wissenschaftlicher Artikel
Published in
Journal of Big Data ; 6 (2019), 1. - Art.-Nr. 15. - eISSN 2196-1115
Link to publication
https://dx.doi.org/10.1186/s40537-019-0178-3Faculties
Fakultät für Ingenieurwissenschaften, Informatik und PsychologieInstitutions
Institut für Organisation und Management von InformationssystemenEU Project uulm
MELODIC / Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing / EC / H2020 / 731664
Subject headings
[Free subject headings]: Big Data | Cloud | Data models | Data storage | Placement | DATA-INTENSIVE APPLICATIONS | AWARE DATA PLACEMENT | MANAGEMENT | ELASTICITY | SYSTEMS | TECHNOLOGIES | SCALABILITY | CHALLENGES | DATABASES | SERVICES[DDC subject group]: DDC 000 / Computer science, information & general works