37 citations · 54 across the 10 of their papers we have counts for
10 papers
Transferable Time-Series Forecasting under Causal Conditional Shift
Zijian Li, Ruichu Cai, Tom Z. J Fu +2
This paper focuses on the problem of semi-supervised domain adaptation for time-series forecasting, which is underexplored in literatures, despite being often encountered in practi…
DiffPerf: Towards Performance Differentiation and Optimization with SDN Implementation
Walid Aljoby, Xin Wang, Dinil Mon Divakaran +2
Continuing the current trend, Internet traffic is expected to grow significantly over the coming years, with video traffic consuming the biggest share. On the one hand, this growth…
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems
Zijian Li, Ruichu Cai, Kok Soon Chai +7
Data-driven models are becoming essential parts in modern mechanical systems, commonly used to capture the behavior of various equipment and varying environmental characteristics.…
On SDN-Enabled Online and Dynamic Bandwidth Allocation for Stream Analytics
Walid Aljoby, Xin Wang, Tom Z. J. Fu +1
Data communication in cloud-based distributed stream data analytics often involves a collection of parallel and pipelined TCP flows. As the standard TCP congestion control mechanis…
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
Li Wang, Tom Z. J. Fu, Richard T. B. Ma +2
Elasticity is highly desirable for stream processing systems to guarantee low latency against workload dynamics, such as surges in data arrival rate and fluctuations in data distri…
Parallel Stream Processing Against Workload Skewness and Variance
Junhua Fang, Rong Zhang, Tom Z. J. Fu +3
Key-based workload partitioning is a common strategy used in parallel stream processing engines, enabling effective key-value tuple distribution over worker threads in a logical op…