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- W4281775561 abstract "Enterprises use distributed database systems to meet the demands of mixed or hybrid transaction/analytical processing (HTAP) workloads that contain both transactional (OLTP) and analytical (OLAP) requests. Distributed HTAP systems typically maintain a complete copy of data in row-oriented storage format that is well-suited for OLTP workloads and a second complete copy in column-oriented storage format optimized for OLAP workloads. Maintaining these data copies consumes significant storage space and system resources. Conversely, if a system stores data in a single format, OLTP or OLAP workload performance suffers. This paper presents Proteus, a distributed HTAP database system that adaptively and autonomously selects and changes its storage layout to optimize for mixed workloads. Proteus generates physical execution plans that utilize storage-aware operators for efficient transaction execution. Using comprehensive HTAP workloads and state-of-the-art comparison systems, we demonstrate that Proteus delivers superior HTAP performance while providing OLTP and OLAP performance on par with designs specialized for either type of workload." @default.
- W4281775561 created "2022-06-13" @default.
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- W4281775561 date "2022-06-10" @default.
- W4281775561 modified "2023-10-16" @default.
- W4281775561 title "Proteus: Autonomous Adaptive Storage for Mixed Workloads" @default.
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- W4281775561 doi "https://doi.org/10.1145/3514221.3517834" @default.
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