Intermediate Data Caching Optimization for Multi-Stage and Parallel Big Data Frameworks. - Zhengyu Yang 001; Danlin Jia; Stratis Ioannidis; Ningfang Mi; Bo Sheng (IEEE CLOUD, 2018)

ATuMm: Auto-tuning Memory Manager in Apache Spark. - Danlin Jia; Janki Bhimani; Son Nam Nguyen; Bo Sheng; Ningfang Mi (IPCCC, 2019)

RITA: Efficient Memory Allocation Scheme for Containerized Parallel Systems to Improve Data Processing Latency. - Danlin Jia; Mahsa Bayati; Ron Lee; Ningfang Mi (CLOUD, 2020)

Performance and Consistency Analysis for Distributed Deep Learning Applications. - Danlin Jia; Manoj Pravakar Saha; Janki Bhimani; Ningfang Mi (IPCCC, 2020)

SNIS: Storage-Network Iterative Simulation for Disaggregated Storage Systems. - Danlin Jia; Tengpeng Li; Xiaoqian Zhang; Li Wang; Mahsa Bayati; Ron Lee; Bo Sheng; Ningfang Mi (IPCCC, 2021)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Xue Lin 001; Ningfang Mi (CLOUD, 2022)

MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices. - Manoj Pravakar Saha; Danlin Jia; Janki Bhimani; Ningfang Mi (CLOUD, 2023)

DIRS: Dynamic Initial Rate Setting in Congestion Control for Disaggregated Storage Systems. - Xiaoqian Zhang; Allen Yang; Danlin Jia; Li Wang; Mahsa Bayati; Pradeep Subedi; Xuebin Yao; Bo Sheng; Ningfang Mi (ICNC, 2023)

SRC: Mitigate I/O Throughput Degradation in Network Congestion Control of Disaggregated Storage Systems. - Danlin Jia; Yiming Xie; Li Wang; Xiaoqian Zhang; Allen Yang; Xuebin Yao; Mahsa Bayati; Pradeep Subedi; Bo Sheng; Ningfang Mi (IPDPS, 2023)

Learning-Based Dynamic Memory Allocation Schemes for Apache Spark Data Processing. - Danlin Jia; Li Wang; Natalia Valencia; Janki Bhimani; Bo Sheng; Ningfang Mi (IEEE Trans. Cloud Comput., 2024)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Yiming Xie; Xue Lin 001; Ningfang Mi (ACM Trans. Archit. Code Optim., 2024)