Presentation

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VALVE: Accelerating Visible Version Searching in HTAP Systems via In-Storage Computing

SessionActive Memory: Breaking the Data Movement Wall with Cognitive Storage

DescriptionHybrid Transactional and Analytical Processing (HTAP) workloads are widely deployed in production systems. Under HTAP workloads, frequent updates lengthen the version chains maintained in Multi-Version-Concurrency-Control (MVCC) systems. Longer version chains require Visible Version Searching (VVS) to scan more versions during analytical queries. In-Storage Computing (ISC) technique alleviates the I/O burden. We propose VALVE to offload the VVS process to a Computational-Storage-Device (CSD). VALVE first solves the consistency issue under host-CSD concurrency. A frugal skip list is introduced in VALVE to further accelerate the version-chain traversal. Experimental results show that VALVE reduces end-to-end scan latency and improves analytical throughput.

Authors

Beijing institute of Technology, Zhuhai

Kecheng Huang