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DTSTART;TZID=America/New_York:20241119T143000
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UID:submissions.supercomputing.org_SC24_sess391_pap497@linklings.com
SUMMARY:Toward High-Performance Blockchain System by Blurring the Line bet
 ween Ordering and Execution
DESCRIPTION:Donghyeon Ryu and Chanik Park (POSTECH, System Software Lab)\n
 \nThe primary bottleneck of blockchain is shifting from consensus to execu
 tion due to recent advances in DAG-based consensus algorithms supporting o
 ver 100k TPS. Many blockchain systems segregate execution from ordering, m
 issing the opportunity to harness potential parallelism in consensus-produ
 ced batches.\n\nIn this paper, we propose a new deterministically orderabl
 e concurrency control algorithm, OptME, which improves the performance of 
 execution phase by exploiting inherent parallelism among transactions. Thi
 s algorithm analyzes transaction dependencies to extract parallelism, and 
 determines\nthe total order of transaction execution.\nOptME consists of t
 hree steps: (1) building a transaction dependency graph, (2) generating a 
 parallel execution schedule, and (3) executing transactions based on the s
 chedule. We employ several optimizations, including parallel dependency gr
 aph construction, early abort detection, and efficient reordering with an 
 optimistic assumption. Our evaluation demonstrates that OptME achieves up 
 to 350k TPS and outperforms a state-of-the-art concurrency control algorit
 hm, even under high contention scenarios.\n\nTag: Distributed Computing, M
 iddleware and System Software, Programming Frameworks and System Software,
  Resource Management\n\nRegistration Category: Tech Program Reg Pass\n\nSe
 ssion Chair: Dong Dai (University of Delaware)\n\n
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