Towards Resiliency in Large Language Model Serving with KevlarFlow
Fuente:
arXiv
Saved in:
| Main Authors: | Qian, Shangshu, Liu, Kipling, Sruthi, P. C., Tan, Lin, Zhang, Yongle |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations
by: Qian, Shangshu, et al.
Published: (2025)
by: Qian, Shangshu, et al.
Published: (2025)
P/D-Serve: Serving Disaggregated Large Language Model at Scale
by: Jin, Yibo, et al.
Published: (2024)
by: Jin, Yibo, et al.
Published: (2024)
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
by: Mei, Yixuan, et al.
Published: (2024)
by: Mei, Yixuan, et al.
Published: (2024)
Towards Sustainable Large Language Model Serving
by: Nguyen, Sophia, et al.
Published: (2024)
by: Nguyen, Sophia, et al.
Published: (2024)
NanoFlow: Towards Optimal Large Language Model Serving Throughput
by: Zhu, Kan, et al.
Published: (2024)
by: Zhu, Kan, et al.
Published: (2024)
SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification
by: Miao, Xupeng, et al.
Published: (2023)
by: Miao, Xupeng, et al.
Published: (2023)
Stateful Large Language Model Serving with Pensieve
by: Yu, Lingfan, et al.
Published: (2023)
by: Yu, Lingfan, et al.
Published: (2023)
EPIC: Efficient Position-Independent Caching for Serving Large Language Models
by: Hu, Junhao, et al.
Published: (2024)
by: Hu, Junhao, et al.
Published: (2024)
Fast Distributed Inference Serving for Large Language Models
by: Wu, Bingyang, et al.
Published: (2023)
by: Wu, Bingyang, et al.
Published: (2023)
DeepServe: Serverless Large Language Model Serving at Scale
by: Hu, Junhao, et al.
Published: (2025)
by: Hu, Junhao, et al.
Published: (2025)
LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism
by: Wu, Bingyang, et al.
Published: (2024)
by: Wu, Bingyang, et al.
Published: (2024)
ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production
by: Xiang, Yuxing, et al.
Published: (2025)
by: Xiang, Yuxing, et al.
Published: (2025)
Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity
by: Griggs, Tyler, et al.
Published: (2024)
by: Griggs, Tyler, et al.
Published: (2024)
semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage
by: Hong, Ke, et al.
Published: (2025)
by: Hong, Ke, et al.
Published: (2025)
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
by: Wang, Zezhou, et al.
Published: (2024)
by: Wang, Zezhou, et al.
Published: (2024)
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving
by: Zhong, Yinmin, et al.
Published: (2024)
by: Zhong, Yinmin, et al.
Published: (2024)
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction
by: Qiu, Haoran, et al.
Published: (2024)
by: Qiu, Haoran, et al.
Published: (2024)
Optimizing RLHF Training for Large Language Models with Stage Fusion
by: Zhong, Yinmin, et al.
Published: (2024)
by: Zhong, Yinmin, et al.
Published: (2024)
InstCache: A Predictive Cache for LLM Serving
by: Zou, Longwei, et al.
Published: (2024)
by: Zou, Longwei, et al.
Published: (2024)
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models
by: Lin, Zheng, et al.
Published: (2024)
by: Lin, Zheng, et al.
Published: (2024)
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
by: Che, Tianshi, et al.
Published: (2023)
by: Che, Tianshi, et al.
Published: (2023)
P/D-Device: Disaggregated Large Language Model between Cloud and Devices
by: Jin, Yibo, et al.
Published: (2025)
by: Jin, Yibo, et al.
Published: (2025)
Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution
by: Xu, Yechen, et al.
Published: (2024)
by: Xu, Yechen, et al.
Published: (2024)
Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud
by: Ghosh, Himel
Published: (2024)
by: Ghosh, Himel
Published: (2024)
DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model Serving
by: Yu, Fengze, et al.
Published: (2025)
by: Yu, Fengze, et al.
Published: (2025)
Unlocking Full Efficiency of Token Filtering in Large Language Model Training
by: Chai, Di, et al.
Published: (2025)
by: Chai, Di, et al.
Published: (2025)
HydraInfer: Hybrid Disaggregated Scheduling for Multimodal Large Language Model Serving
by: Dong, Xianzhe, et al.
Published: (2025)
by: Dong, Xianzhe, et al.
Published: (2025)
A Universal Load Balancing Principle and Its Application to Large Language Model Serving
by: Chen, Zixi, et al.
Published: (2026)
by: Chen, Zixi, et al.
Published: (2026)
FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
by: Oliaro, Gabriele, et al.
Published: (2024)
by: Oliaro, Gabriele, et al.
Published: (2024)
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
by: Abhyankar, Reyna, et al.
Published: (2024)
by: Abhyankar, Reyna, et al.
Published: (2024)
Energy-Efficient Split Learning for Fine-Tuning Large Language Models in Edge Networks
by: Li, Zuguang, et al.
Published: (2024)
by: Li, Zuguang, et al.
Published: (2024)
Cascadia: An Efficient Cascade Serving System for Large Language Models
by: Jiang, Youhe, et al.
Published: (2025)
by: Jiang, Youhe, et al.
Published: (2025)
FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model Serving
by: Shen, Ao, et al.
Published: (2024)
by: Shen, Ao, et al.
Published: (2024)
FailSafe: High-performance Resilient Serving
by: Xu, Ziyi, et al.
Published: (2025)
by: Xu, Ziyi, et al.
Published: (2025)
Inference Acceleration for Large Language Models on CPUs
by: PS, Ditto, et al.
Published: (2024)
by: PS, Ditto, et al.
Published: (2024)
Llumnix: Dynamic Scheduling for Large Language Model Serving
by: Sun, Biao, et al.
Published: (2024)
by: Sun, Biao, et al.
Published: (2024)
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models
by: Pan, Xuchen, et al.
Published: (2025)
by: Pan, Xuchen, et al.
Published: (2025)
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation
by: Lu, Runyu, et al.
Published: (2025)
by: Lu, Runyu, et al.
Published: (2025)
AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding
by: Li, Zikun, et al.
Published: (2025)
by: Li, Zikun, et al.
Published: (2025)
FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving
by: Gao, Shouwei, et al.
Published: (2026)
by: Gao, Shouwei, et al.
Published: (2026)
Similar Items
-
CSnake: Detecting Self-Sustaining Cascading Failure via Causal Stitching of Fault Propagations
by: Qian, Shangshu, et al.
Published: (2025) -
P/D-Serve: Serving Disaggregated Large Language Model at Scale
by: Jin, Yibo, et al.
Published: (2024) -
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
by: Mei, Yixuan, et al.
Published: (2024) -
Towards Sustainable Large Language Model Serving
by: Nguyen, Sophia, et al.
Published: (2024) -
NanoFlow: Towards Optimal Large Language Model Serving Throughput
by: Zhu, Kan, et al.
Published: (2024)