Dilu: Enabling GPU Resourcing-on-Demand for Serverless DL Serving via Introspective Elasticity
Fuente:
arXiv
Saved in:
| Main Authors: | Lv, Cunchi, Shi, Xiao, Lei, Zhengyu, Huang, Jinyue, Tan, Wenting, Zheng, Xiaohui, Zhao, Xiaofang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
by: Lv, Cunchi, et al.
Published: (2025)
by: Lv, Cunchi, et al.
Published: (2025)
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training
by: Tan, Wenting, et al.
Published: (2023)
by: Tan, Wenting, et al.
Published: (2023)
Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference
by: Yu, Minchen, et al.
Published: (2023)
by: Yu, Minchen, et al.
Published: (2023)
Enabling Elastic Model Serving with MultiWorld
by: Lee, Myungjin, et al.
Published: (2024)
by: Lee, Myungjin, et al.
Published: (2024)
DeepServe: Serverless Large Language Model Serving at Scale
by: Hu, Junhao, et al.
Published: (2025)
by: Hu, Junhao, et al.
Published: (2025)
It Takes Two to Tango: Serverless Workflow Serving via Bilaterally Engaged Resource Adaptation
by: Wu, Jing, et al.
Published: (2025)
by: Wu, Jing, et al.
Published: (2025)
DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
by: Ruan, Chaoyi, et al.
Published: (2025)
by: Ruan, Chaoyi, et al.
Published: (2025)
HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds
by: Lou, Chiheng, et al.
Published: (2025)
by: Lou, Chiheng, et al.
Published: (2025)
Boosting LLM Serving through Spatial-Temporal GPU Resource Sharing
by: Lin, Zejia, et al.
Published: (2025)
by: Lin, Zejia, et al.
Published: (2025)
Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
by: Chang, Zihan, et al.
Published: (2024)
by: Chang, Zihan, et al.
Published: (2024)
Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes
by: Dehigama, Dilina, et al.
Published: (2026)
by: Dehigama, Dilina, et al.
Published: (2026)
Towards Fast Setup and High Throughput of GPU Serverless Computing
by: Zhao, Han, et al.
Published: (2024)
by: Zhao, Han, et al.
Published: (2024)
GraphFlash: Enabling Fast and Elastic Graph Processing on Serverless Infrastructure
by: Zhao, Chen, et al.
Published: (2026)
by: Zhao, Chen, et al.
Published: (2026)
FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
Predictable LLM Serving on GPU Clusters
by: Darzi, Erfan, et al.
Published: (2025)
by: Darzi, Erfan, et al.
Published: (2025)
Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud
by: Ghosh, Himel
Published: (2024)
by: Ghosh, Himel
Published: (2024)
HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
by: Gu, Jianfeng, et al.
Published: (2025)
by: Gu, Jianfeng, et al.
Published: (2025)
Software Resource Disaggregation for HPC with Serverless Computing
by: Copik, Marcin, et al.
Published: (2024)
by: Copik, Marcin, et al.
Published: (2024)
MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)
by: Hu, Cunchen, et al.
Published: (2024)
WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving
by: Lou, Chiheng, et al.
Published: (2025)
by: Lou, Chiheng, et al.
Published: (2025)
Dependency-aware Resource Allocation for Serverless Functions at the Edge
by: Baresi, Luciano, et al.
Published: (2023)
by: Baresi, Luciano, et al.
Published: (2023)
Serverless Approach to Running Resource-Intensive STAR Aligner
by: Kica, Piotr, et al.
Published: (2025)
by: Kica, Piotr, et al.
Published: (2025)
Towards Resource-Efficient Serverless LLM Inference with SLINFER
by: Xu, Chuhao, et al.
Published: (2025)
by: Xu, Chuhao, et al.
Published: (2025)
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism
by: Liu, Zedong, et al.
Published: (2025)
by: Liu, Zedong, et al.
Published: (2025)
CALVO: Improve Serving Efficiency for LLM Inferences with Intense Network Demands
by: Wang, Weiye, et al.
Published: (2026)
by: Wang, Weiye, et al.
Published: (2026)
ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL
by: Gao, Wei, et al.
Published: (2026)
by: Gao, Wei, et al.
Published: (2026)
FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
by: Lin, Yanying, et al.
Published: (2025)
by: Lin, Yanying, et al.
Published: (2025)
OTAS: An Elastic Transformer Serving System via Token Adaptation
by: Chen, Jinyu, et al.
Published: (2024)
by: Chen, Jinyu, et al.
Published: (2024)
HotSwap: Enabling Live Dependency Sharing in Serverless Computing
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration
by: Du, Jiangsu, et al.
Published: (2025)
by: Du, Jiangsu, et al.
Published: (2025)
Cost-Performance Analysis: A Comparative Study of CPU-Based Serverless and GPU-Based Training Architectures
by: Barrak, Amine, et al.
Published: (2025)
by: Barrak, Amine, et al.
Published: (2025)
Jiagu: Optimizing Serverless Computing Resource Utilization with Harmonized Efficiency and Practicability
by: Liu, Qingyuan, et al.
Published: (2024)
by: Liu, Qingyuan, et al.
Published: (2024)
AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU
by: Zhang, Yuning, et al.
Published: (2026)
by: Zhang, Yuning, et al.
Published: (2026)
eLLM: Elastic Memory Management Framework for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2025)
by: Xu, Jiale, et al.
Published: (2025)
MQFQ-Sticky: Fair Queueing For Serverless GPU Functions
by: Fuerst, Alexander, et al.
Published: (2025)
by: Fuerst, Alexander, et al.
Published: (2025)
ICPS: Real-Time Resource Configuration for Cloud Serverless Functions Considering Affinity
by: Chen, Long, et al.
Published: (2025)
by: Chen, Long, et al.
Published: (2025)
EconoServe: Maximizing Multi-Resource Utilization with SLO Guarantees in LLM Serving
by: Shen, Haiying, et al.
Published: (2024)
by: Shen, Haiying, et al.
Published: (2024)
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference
by: Yu, Minchen, et al.
Published: (2025)
by: Yu, Minchen, et al.
Published: (2025)
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models
by: Choi, Yujeong, et al.
Published: (2024)
by: Choi, Yujeong, et al.
Published: (2024)
Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism
by: Mo, Zizhao, et al.
Published: (2025)
by: Mo, Zizhao, et al.
Published: (2025)
Similar Items
-
SpecInF: Exploiting Idle GPU Resources in Distributed DL Training via Speculative Inference Filling
by: Lv, Cunchi, et al.
Published: (2025) -
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training
by: Tan, Wenting, et al.
Published: (2023) -
Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference
by: Yu, Minchen, et al.
Published: (2023) -
Enabling Elastic Model Serving with MultiWorld
by: Lee, Myungjin, et al.
Published: (2024) -
DeepServe: Serverless Large Language Model Serving at Scale
by: Hu, Junhao, et al.
Published: (2025)