7 citations · 12 across the 6 of their papers we have counts for
6 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…
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Wanling Gao, Jianfeng Zhan, Lei Wang +11
Several fundamental changes in technology indicate domain-specific hardware and software co-design is the only path left. In this context, architecture, system, data management, an…
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…
Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems
Jiechao Cheng, Rui Ren, Lei Wang +1
The increasing popularity of server usage has brought a plenty of anomaly log events, which have threatened a vast collection of machines. Recognizing and categorizing the anomalou…
Characterization and Architectural Implications of Big Data Workloads
Lei Wang, Jianfeng Zhan, Zhen Jia +1
Big data areas are expanding in a fast way in terms of increasing workloads and runtime systems, and this situation imposes a serious challenge to workload characterization, which…