Cost-Efficient Data Redundancy in the Cloud

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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.
  author = {Waibel, Philipp and Hochreiner, Christoph and Schulte, Schulte},
  booktitle = {2016 IEEE 9th International Conference on Service-Oriented Computing and Applications (SOCA)},
  title = {Cost-Efficient Data Redundancy in the Cloud},
  year = {2016},
  pages = {1-9},
  doi = {10.1109/SOCA.2016.12},
  month = nov,
  url = {}