H2020 CREMA - Cloud-based Rapid Elastic MAnufacturing
Cloud-based Rapid Elastic Manufacturing
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CREMA Papers published on Data Storage in the Cloud

CREMA Papers published on Data Storage in the Cloud

Two new CREMA related publications have been made:

1. P. Waibel, J. Matt, C. Hochreiner, O. Skarlat, R. Hans, S. Schulte (2017). Cost-Optimized Redundant Data Storage in the Cloud. In Service Oriented Computing and Applications, Volume 11, Number 4, pages 411-426.

The paper Cost-Optimized Redundant Data Storage in the Cloud was published in the journal Service Oriented Computing and Applications. Within the paper, the authors Philipp Waibel, Johannes Matt, Christoph Hochreiner, Olena Skarlat, Ronny Hans, and Stefan Schulte present an approach on the redundant storage of data objects on different cloud storages in a highly available and durable way. Furthermore, the paper discusses a global optimization model and a heuristic optimization, based on a classification of the data objects and a local optimization model, for the cost-efficient optimization of the data object placement on the different cloud storages. 

2. J. Matt, P. Waibel, S. Schulte (2017). Cost- and Latency-Efficient Redundant Data Storage in the Cloud. In 10th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2017), pages 164-172.

Stemming from research conducted within the CREMA project, a paper on cost- and latency-efficient storage of data on cloud storages in a redundant way was presented at the 10th IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2017) that took place in Kanazawa, Japan. The authors from TU Wien propose an approach that creates redundant chunks of a data object and stores the chunks on different cloud storages for a highly available and durable storage. Furthermore, they propose a heuristic optimization of the placement of the chunks on the different cloud storages in a cost- and latency-efficient way.