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The Algorithmics of Write Optimization

Write-optimized dictionaries (WODs), such as LSM trees and B^epsilon trees, are increasingly used in databases and file systems. Such data structures support very fast insertions without sacrificing lookup performance. This talk explains how WODs can substantially reduce the I/O cost of many workloads, enabling some applications to scale by orders of magnitude. In contrast, traditional data structures, such as B-trees, are often I/O bound on these workloads. The talk explores write-optimization from the perspective of foundational theory, parallelization, and applications.