Chen Wang
where else to find them
linkedin:chen-wang-a40376297
what they talk about
all 9 in the filters
where they keep going back
- KubeCon + CloudNativeCon North America2 editions2021–2022
all 14 in the filters
on a stage with
all 33 in the filters
who talks about the same things
- Huamin Chen20 talks
- Abdel Sghiouar29 talks
- Yuan Tang23 talks
- Saiyam Pathak38 talks
- Yuan Chen15 talks
- Parul Singh11 talks
| title | conference | date |
|---|---|---|
| Who Watches the Watchers? On the Reliability of Softwarizing Cloud Application Management | NSDI '26 | 2026-05-04 |
Study analyzes 412 real-world failures across 13 Kubernetes operators and finds 42% stem from operator–application interactions, with 64% of those being… | ||
| A Practical Guide To Benchmarking AI and GPU Workloads in Kubernetes | KubeCon + CloudNativeCon Europe 2025 | 2025-04-01 |
Step-by-step Kubernetes benchmarking that actually deploys servers, runs load, and returns metrics: uses NVIDIA Triton (HTTP/gRPC), the Triton Performance… | ||
| Power-aware Deep Learning Model Serving with μ-Serve | USENIX ATC 2024 | 2024-07-10 |
microserve is a power-aware model serving system that builds a sensitivity profile per model partition, clusters partitions with similar frequency sensitivity… | ||
| Lightning Talk: Best Practices for LLM Serving with DRA | Cloud Native AI Day Europe 2024 | 2024-03-19 |
Serving LLMs on A100/H100 shows cluster GPU utilization as low as 20–30% and per-token generation around 50 ms per-token under test loads. Experiments show… | ||
| AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production... | USENIX ATC '23 | 2023-07-10 |
AWARE is an extensible framework that deploys RL autoscalers on Kubernetes with an OpenAI Gym-like interface, combines offline replay-buffer training with… | ||
| Optimizing Full-Stack Sustainability in a Real World Data... | SustainabilityCon @ Open Source Summit North America 2023 | 2023-05-10 |
Full-stack platform collects real-time telemetry from building-level sensors through application traces, aggregates with Prometheus and Grafana, and analyzes… | ||
| 5 Steps to Deploy Cloud Native Sustainable Foundation AI Models | Open AI + Data Forum @ Open Source Summit North America 2023 | 2023-05-10 |
Shows how to containerize foundation models and run Bloom (516M) and Stable Diffusion in Docker on Kubernetes, instrumented with NVIDIA DCGM exporter +… | ||
| On Data Locality in Kubernetes | ContainerCon @ Open Source Summit Japan 2022 | 2022-12-05 |
Experiments convert Tesseract OCR into microservice pipelines on a 3-node Kubernetes cluster (3 workers, 8 cores, 32 GB RAM, 50 GB disk) and compare remote… | ||
| On Data Locality in Kubernetes | Kubernetes AI Day North America 2022 | 2022-10-25 |
Built a Tesseract-based benchmark on three 8‑CPU 32GB worker nodes to measure data locality effects, showing up to 10x local vs remote throughput for reads and… | ||
| Tutorial: Unleash the Full Potential Of Kubernetes Scheduler: Configuration, Extension And Operation In Production | KubeCon + CloudNativeCon North America 2022 | 2022-10-24 |
kube-scheduler internals and actionable knobs: shows a live demo that deploys a second scheduler with two profiles on a 3-worker kind/Minikube cluster and… | ||
| Sustainability Research the Cloud Native Way | KubeCon + CloudNativeCon North America 2022 | 2022-10-24 |
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF and system counters to export energy and performance metrics to Prometheus, staying… | ||
| Sustainability the Container Native Way | ContainerCon @ Open Source Summit North America 2022 | 2022-06-21 |
A Kubernetes-native exporter called kepler exporter collects per-node and per-pod CPU, GPU and DRAM counters via eBPF and vendor APIs, sends snapshots to… | ||
| Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions | ITCS 2022 | 2022-01-31 |
A constant-factor correlation clustering algorithm appears with only adjacency list of positive subgraph access: randomized algorithm runs in O(n log^2 n) time… | ||
| Trimaran: Real Load Aware Scheduling in Kubernetes | KubeCon + CloudNativeCon North America 2021 | 2021-10-11 |
Trimaran adds two scheduler scoring plugins, TargetLoadPacking and LoadVariationRiskBalancing, plus a cluster-wide LoadWatcher that pulls Prometheus, SignalFX… | ||
| AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management | HotCloud '20 | 2020-07-13 |
AI4DL: Mining Behaviors of Deep Learning Workloads for Resource Management
Josep L. Berral, Barcelona Supercomputing Center, Universitat Politecnica de… | ||
| Understanding and Finding Crash-Consistency Bugs in Parallel File Systems | 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '20) | 2020-07-13 |
Study finds 34 vulnerabilities across parallel file systems, with 15 and 19 in BeeGFS and OrangeFS and 5 in XD4, including two persistence-order bugs that… | ||
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