5 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…
Ksurf-Drone: Attention Kalman Filter for Contextual Bandit Optimization in Cloud Resource Allocation
Michael Dang'ana, Yuqiu Zhang, Hans-Arno Jacobsen
Resource orchestration and configuration parameter search are key concerns for container-based infrastructure in cloud data centers. Large configuration search space and cloud unce…
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…
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud
Yuqiu Zhang, Tongkun Zhang, Gengrui Zhang +1
The advances in virtualization technologies have sparked a growing transition from virtual machine (VM)-based to container-based infrastructure for cloud computing. From the resour…