6 papers
REMOP: REmote-Memory-aware OPerator Optimization
Shiquan Zhang, Yunhao Mao, Yuqiu Zhang +3
Remote and disaggregated memory tiers expand the effective memory capacity of analytical database engines, but they also reshape the cost structure of out-of-memory query processin…
Epoch-based Optimistic Concurrency Control in Geo-replicated Databases
Yunhao Mao, Harunari Takata, Michail Bachras +4
Geo-distribution is essential for modern online applications to ensure service reliability and high availability. However, supporting high-performance serializable transactions in…
WOC: Dual-Path Weighted Object Consensus Made Efficient
Tanisha Fonseca, Gengrui Zhang
Modern distributed systems face a critical challenge: existing consensus protocols optimize for either node heterogeneity or workload independence, but not both. For example, Cabin…
GPoS: Geospatially-aware Proof of Stake
Shashank Motepalli, Naman Garg, Gengrui Zhang +1
Geospatial decentralization is essential for blockchains, ensuring regulatory resilience, robustness, and fairness. We empirically analyze five major Proof of Stake (PoS) blockchai…
Kant: An Efficient Unified Scheduling System for Large-Scale AI Clusters
Lingling Zeng, Gen Zhang, Jialin Peng +3
As AI cluster sizes continue to expand and the demand for large-language-model (LLM) training and inference workloads grows rapidly, traditional scheduling systems face significant…
Cabinet: Dynamically Weighted Consensus Made Fast
Gengrui Zhang, Shiquan Zhang, Michail Bachras +2
Conventional consensus algorithms, such as Paxos and Raft, encounter inefficiencies when applied to large-scale distributed systems due to the requirement of waiting for replies fr…