Cover Image

Fail-Closed Lowering of Resident KV Claims onto LLM Serving Runtimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Stepanek, Lukas
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Resident KV Claims: A Conformance Contract for Future Reuse under Active KV Pressure
by: Stepanek, Lukas
Published: (2026)

MorphServe: Efficient and Workload-Aware LLM Serving via Runtime Quantized Layer Swapping and KV Cache Resizing
by: Su, Zhaoyuan, et al.
Published: (2025)

BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure
by: He, Yiyuan, et al.
Published: (2025)

Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics
by: Jiang, Youhe, et al.
Published: (2026)

FailSafe: High-performance Resilient Serving
by: Xu, Ziyi, et al.
Published: (2025)

CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration
by: Nian, Sean, et al.
Published: (2026)

DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving
by: Strati, Foteini, et al.
Published: (2024)

TokenDance: Scaling Multi-Agent LLM Serving via Collective KV Cache Sharing
by: Bian, Zhuohang, et al.
Published: (2026)

TraCT: Disaggregated LLM Serving with CXL Shared Memory KV Cache at Rack-Scale
by: Yoon, Dongha, et al.
Published: (2025)

Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading
by: Meng, William, et al.
Published: (2025)

FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments
by: Wu, Li, et al.
Published: (2025)

PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving
by: Yüzügüler, Ahmet Caner, et al.
Published: (2025)

FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework
by: Zhu, Jianian, et al.
Published: (2025)

Fair Kernel-Lock-Free Claim/Release Protocol for Shared Object Access in Cooperatively Scheduled Runtimes
by: Chalmers, Kevin, et al.
Published: (2025)

Adaptive KV Cache Reuse for Fast Long-Context LLM Serving
by: li, Fei, et al.
Published: (2026)

FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving
by: Bin, Kyungmin, et al.
Published: (2025)

GTaP: A GPU-Resident Fork-Join Task-Parallel Runtime with a Pragma-Based Interface
by: Maeda, Yuki, et al.
Published: (2026)

Cost-Efficient LLM Serving in the Cloud: VM Selection with KV Cache Offloading
by: Kim, Kihyun, et al.
Published: (2025)

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management
by: Qianli, Liu, et al.
Published: (2025)

DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving
by: Ruan, Chaoyi, et al.
Published: (2025)

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving
by: Duan, Jiangfei, et al.
Published: (2024)

PAM: Processing Across Memory Hierarchy for Efficient KV-centric LLM Serving System
by: Liu, Lian, et al.
Published: (2026)

MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool
by: Hu, Cunchen, et al.
Published: (2024)

EconoServe: Maximizing Multi-Resource Utilization with SLO Guarantees in LLM Serving
by: Shen, Haiying, et al.
Published: (2024)

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments
by: Jiang, Youhe, et al.
Published: (2025)

Predictable LLM Serving on GPU Clusters
by: Darzi, Erfan, et al.
Published: (2025)

Amoeba: Runtime Tensor Parallel Transformation for LLM Inference Services
by: Chen, Haoyu, et al.
Published: (2025)

HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds
by: Lou, Chiheng, et al.
Published: (2025)

SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving
by: Zhou, Qihui, et al.
Published: (2025)

PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving
by: Woo, Sunghyeon, et al.
Published: (2026)

LLM-Emu: Native Runtime Emulation of LLM Inference via Profile-Driven Sampling
by: Da, Wei, et al.
Published: (2026)

Cloud Native System for LLM Inference Serving
by: Xu, Minxian, et al.
Published: (2025)

Fast State Restoration in LLM Serving with HCache
by: Gao, Shiwei, et al.
Published: (2024)

GoodServe: Towards High-Goodput Serving of Agentic LLM Inferences over Heterogeneous Resources
by: Du, Boxiao, et al.
Published: (2026)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference
by: Li, Suyi, et al.
Published: (2024)

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)

EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration
by: Du, Jiangsu, et al.
Published: (2025)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving
by: Xu, Jiale, et al.
Published: (2025)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity
by: Zhang, Chen, et al.
Published: (2025)

AlignedServe: Orchestrating Prefix-aware Batching to Build a High-throughput and Computing-efficient LLM Serving System
by: Bai, Fengyao, et al.
Published: (2026)