White-Box OLAP Performance Modeling for the Cloud

Kuschewski M, Leis V (2021)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2021

Event location: Chaminade, USA

URI: http://cidrdb.org/cidr2021/papers/cidr2021_abstract02.pdf

Abstract

Public cloud providers offer hundreds of heterogeneous hardware instances. For cloud-based analytical query processing systems, this presents a major challenge: depending on the hardware configuration chosen, performance and cost may differ by orders of magnitude. We explore this relationship by building a white-box model that takes the workload, hardware, and cost into account to determine the optimal instance configuration. We argue that such an approach can guide the evolution of cloud-native OLAP systems.

Authors with CRIS profile

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

How to cite

APA:

Kuschewski, M., & Leis, V. (2021). White-Box OLAP Performance Modeling for the Cloud. In Proceedings of the 11th Annual Conference on Innovative Data Systems Research (CIDR ‘21). Chaminade, USA.

MLA:

Kuschewski, Maximilian, and Viktor Leis. "White-Box OLAP Performance Modeling for the Cloud." Proceedings of the 11th Annual Conference on Innovative Data Systems Research (CIDR ‘21), Chaminade, USA 2021.

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