4 papers
ANCHOR: A Vision for Secure Persistent Key-Value Stores in Disaggregated Data Centers
Viraj Thakkar, Dongha Kim, Hokeun Kim +1
Persistent key-value stores (PKVS) are increasingly deployed in disaggregated settings that split compute, memory, and storage across separate server pools. This shift redraws the…
O^3-LSM: Maximizing Disaggregated LSM Write Performance via Three-Layer Offloading
Qi Lin, Gangqi Huang, Te Guo +5
Log-Structured Merge-tree-based Key-Value Stores (LSM-KVS) have been optimized and redesigned for disaggregated storage via techniques such as compaction offloading to reduce the n…
StorageXTuner: An LLM Agent-Driven Automatic Tuning Framework for Heterogeneous Storage Systems
Qi Lin, Zhenyu Zhang, Viraj Thakkar +3
Automatically configuring storage systems is hard: parameter spaces are large and conditions vary across workloads, deployments, and versions. Heuristic and ML tuners are often sys…
ELMo-Tune-V2: LLM-Assisted Full-Cycle Auto-Tuning to Optimize LSM-Based Key-Value Stores
Viraj Thakkar, Qi Lin, Kenanya Keandra Adriel Prasetyo +4
Log-Structured Merge-tree-based Key-Value Store (LSM-KVS) is a foundational storage engine serving diverse modern workloads, systems, and applications. To suit varying use cases, L…