Towards Cost-Optimal Query Processing in the Cloud

Leis V, Kuschewski M (2021)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Event location: Copenhagen, Denmark DK

URI: https://www.cs6.tf.fau.de/files/2021/04/costoptimal.pdf

DOI: 10.14778/3461535.3461549

Abstract

Public cloud providers offer hundreds of heterogeneous hardware instances.
For analytical query processing systems, this presents a major challenge:
depending on the hardware configuration, performance and cost may differ by orders of magnitude.
We propose a simple and intuitive model that takes the workload, hardware, and cost into account to determine the optimal instance configuration.
We discuss how such a model-based approach can significantly reduce costs and also guide the evolution of cloud-native database systems to achieve our vision of cost-optimal query processing.

Authors with CRIS profile

Viktor Leis Chair for Computer Science 6 (Data Management) Maximilian Kuschewski Chair for Computer Science 6 (Data Management)

How to cite

APA:

Leis, V., & Kuschewski, M. (2021). Towards Cost-Optimal Query Processing in the Cloud. In Proceedings of the 47th International Conference on Very Large Data Bases. Copenhagen, Denmark, DK.

MLA:

Leis, Viktor, and Maximilian Kuschewski. "Towards Cost-Optimal Query Processing in the Cloud." Proceedings of the 47th International Conference on Very Large Data Bases, Copenhagen, Denmark 2021.

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