Serverless Query Processing with Flexible Performance SLAs and Prices
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| Опубликовано в:: | arXiv.org (Dec 23, 2024), p. n/a |
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| Главный автор: | |
| Другие авторы: | , , |
| Опубликовано: |
Cornell University Library, arXiv.org
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| Предметы: | |
| Online-ссылка: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3148982485 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3148982485 | ||
| 045 | 0 | |b d20241223 | |
| 100 | 1 | |a Bian, Haoqiong | |
| 245 | 1 | |a Serverless Query Processing with Flexible Performance SLAs and Prices | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 23, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Serverless query processing has become increasingly popular due to its auto-scaling, high elasticity, and pay-as-you-go pricing. It allows cloud data warehouse (or lakehouse) users to focus on data analysis without the burden of managing systems and resources. Accordingly, in serverless query services, users become more concerned about cost-efficiency under acceptable performance than performance under fixed resources. This poses new challenges for serverless query engine design in providing flexible performance service-level agreements (SLAs) and cost-efficiency (i.e., prices). In this paper, we first define the problem of flexible performance SLAs and prices in serverless query processing and discuss its significance. Then, we envision the challenges and solutions for solving this problem and the opportunities it raises for other database research. Finally, we present PixelsDB, an open-source prototype with three service levels supported by dedicated architectural designs. Evaluations show that PixelsDB reduces resource costs by 65.5\% for near-real-world workloads generated by Cloud Analytics Benchmark (CAB) while not violating the pending time guarantees. | |
| 653 | |a Data analysis | ||
| 653 | |a Engine design | ||
| 653 | |a Queries | ||
| 653 | |a Query processing | ||
| 700 | 1 | |a Geng, Dongyang | |
| 700 | 1 | |a Chai, Yunpeng | |
| 700 | 1 | |a Ailamaki, Anastasia | |
| 773 | 0 | |t arXiv.org |g (Dec 23, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3148982485/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2409.01388 |