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DTSTART;TZID=America/Chicago:20251117T164500
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UID:submissions.supercomputing.org_SC25_sess217_ws_drbsd106@linklings.com
SUMMARY:Integrating Distributed SQL Query Engines with Object-Based Comput
 ational Storage
DESCRIPTION:Junghyun Ryu, Soon Hwang, Junhyeok Park, and Seonghoon Ahn (So
 gang University); JeoungAhn Park, Jeongjin Lee, Jinna Yang, Soonyeal Yang,
  and Jungki Noh (SK hynix Inc.); Qing Zheng (Los Alamos National Laborator
 y (LANL)); Woosuk Chung and Hoshik Kim (SK hynix Inc.); and Youngjae Kim (
 Sogang University)\n\nExisting object storage systems like AWS S3 and MinI
 O offer only limited in-storage compute capabilities, typically restricted
  to simple SQL WHERE-clause filtering. Conse-\nquently, high-impact operat
 ors—such as aggregation and top-N—are still executed entirely at the compu
 te layer. Recent advances in Object-based Computational Storage (OCS) enab
 le these complex operators to run natively within storage, creating opport
 unities for substantial reductions in data movement and query time. To dem
 onstrate these benefits in distributed SQL engines, we used Presto as a ca
 se study and developed the Presto-OCS connector, which analyzes execution 
 plans to identify pushdown-eligible operators and offloads them to OCS for
  efficient in-storage execution. Evaluations with real-world HPC analytics
  queries and the TPC-H benchmark show that our approach achieves up to 4.0
 7× speedup and 99% data movement reduction compared to filter-only pushdow
 n. When combined with compression techniques, our approach delivers 1.39×s
 peedup over compressed filter-only pushdown, demonstrating that advanced q
 uery pushdown complements existing optimizations.\n\nRecording: Livestream
 ed, Recorded\n\nRegistration Category: Technical Program Reg Pass, Worksho
 p Reg Pass\n\nSession Chairs: Sheng Di (Argonne National Laboratory (ANL),
  University of Chicago); Ana Gainaru (Oak Ridge National Laboratory (ORNL)
 ); Kento Sato (RIKEN Center for Computational Science (R-CCS)); Xin Liang 
 (University of Kentucky); and Jieyang Chen (University of Oregon)\n\n
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