Cost-efficient and differentiated data availability guarantees in data clouds

Abstract

Failures of any type are common in current datacenters. As data scales up, its availability becomes more complex, while different availability levels per application or per data item may be required. In this paper, we propose a self-managed key-value store that dynamically allocates the resources of a data cloud to several applications in a cost-efficient and fair way. Our approach offers and dynamically maintains multiple differentiated availability guarantees to each different application despite failures. We employ a virtual economy, where each data partition acts as an individual optimizer and chooses whether to migrate, replicate or remove itself based on net benefit maximization regarding the utility offered by the partition and its storage and maintenance cost. Comprehensive experimental evaluations suggest that our solution is highly scalable and adaptive to query rate variations and to resource upgrades/failures.

DOI: 10.1109/ICDE.2010.5447852

Extracted Key Phrases

5 Figures and Tables

Cite this paper

@article{Bonvin2010CostefficientAD, title={Cost-efficient and differentiated data availability guarantees in data clouds}, author={Nicolas Bonvin and Thanasis G. Papaioannou and Karl Aberer}, journal={2010 IEEE 26th International Conference on Data Engineering (ICDE 2010)}, year={2010}, pages={980-983} }