9 citations · 25 across the 15 of their papers we have counts for
5 papers · 1 filter
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster
Rui Ren, Jinheng Li, Lei Wang +2
In warehouse-scale cloud datacenters, co-locating online services and offline batch jobs is an efficient approach to improving datacenter utilization. To better facilitate the unde…
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
Wanling Gao, Jianfeng Zhan, Lei Wang +8
For the architecture community, reasonable simulation time is a strong requirement in addition to performance data accuracy. However, emerging big data and AI workloads are too hug…
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
Wanling Gao, Jianfeng Zhan, Lei Wang +9
The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big…
HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems
Rui Ren, Jiechao Cheng, Xiwen He +3
With tremendous growing interests in Big Data systems, analyzing and facilitating their performance improvement become increasingly important. Although there have much research eff…
Automatic Performance Debugging of SPMD-style Parallel Programs
Xu Liu, Jianfeng Zhan, Kunlin Zhan +4
The simple program and multiple data (SPMD) programming model is widely used for both high performance computing and Cloud computing. In this paper, we design and implement an inno…