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P. Waibel, C. Hochreiner, S. Schulte:
"Cost-Efficient Data Redundancy in the Cloud";
Talk: IEEE 9th International Conference on Service Oriented Computing & Applications (SOCA 2016), Macau, China; 2016-11-04 - 2016-11-06; in: "Proceedings of the IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA 2016)", IEEE, (2016), ISBN: 978-1-5090-4781-9; 1 - 9.

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.

Cloud storage; Redundant storage; Erasure coding; Vendor lock-in; Long-term storage; Fault tolerance

http://dx.doi.org/10.1109/SOCA.2016.12

Project Head Stefan Schulte:
Cloud-based Rapid Elastic MAnufacturing