Waibel, Philipp, Matt, Johannes, Hochreiner, Christoph, Skarlat, Olena, Hans, Ronny, Schulte, Stefan. 2017. Cost-optimized redundant data storage in the cloud. Service Oriented Computing and Applications. 11 (4), 411-426.

RIS

@ARTICLE{Waibel2017,
title = {Cost-optimized redundant data storage in the cloud},
author = {Philipp Waibel and Johannes Matt and Christoph Hochreiner and Olena Skarlat and Ronny Hans and Stefan Schulte},
year = {2017},
doi = {http://dx.doi.org/10.1007/s11761-017-0218-9},
volume = {11},
number = {4},
language = {EN},
pages = {411-426},
journal = {Service Oriented Computing and Applications},
abstract = {The use of cloud-based storage systems for storing data is a popular alternative to local storage systems. Beside several benefits of cloud-based storages, there are also downsides like vendor lock-in or unavailability. Moreover, the selection of the best fitting storage solution can be a tedious and cumbersome task and the storage requirements may change over time. In this paper, we formulate a system model that uses multiple cloud-based services to realize a redundant and cost-efficient storage. Within this system model, we formulate a local and a global optimization problem that considers historical data access information and predefined quality of service requirements to select a cost-efficient storage solution. Furthermore, we present a heuristic optimization approach for the global optimization. Extensive evaluations show the benefits of our work in comparison with a baseline that follows a state-of-the-art approach. We show that our solutions save up to 30% of the cumulative cost in comparison with the baseline.},
}