Cost-efficient data redundancy in the cloud

Publikationstyp
Conference Paper
Date Issued
2016-12
Sprache
English
Author(s)
Waibel, Philipp  
Hochreiner, Christoph  
Schulte, Stefan  
TORE-URI
http://hdl.handle.net/11420/11875
Start Page
1
End Page
9
Article Number
7796002
Citation
IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA 2016)
Contribution to Conference
IEEE 9th International Conference on Service-Oriented Computing and Applications, SOCA 2016  
Publisher DOI
10.1109/SOCA.2016.12
Scopus ID
2-s2.0-85011294791
Nowadays, the usage of cloud storages to store data is a popular alternative to traditional local storage systems. However, besides the benefits such services can offer, there are also some downsides like vendor lock-in or unavailability. Furthermore, the large number of available providers and their different pricing models can turn the search for the best fitting provider into a tedious and cumbersome task. Furthermore, the optimal selection of a provider may change over time.In this paper, we formalize a system model that uses several cloud storages to offer a redundant storage for data. The according optimization problem considers historic data access patterns and predefined Quality of Service requirements for the selection of the best-fitting storages. Through extensive evaluations we show the benefits of our work and compare the novel approach against a baseline which follows a state-of-the-art approach.
Subjects
Cloud storage
Erasure coding
Fault tolerance
Long-term storage
Redundant storage
Vendor lock-in