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* 2026-02-24, [https://www.usenix.org/conference/fast26/presentation/zeng GPU Checkpoint/Restore Made Fast and Lightweight]
* 2026-12-18, [https://radostin.io/files/stoyanov-middleware-2026.pdf Transparent and Unified CPU-GPU Snapshots for LLM Inference Platforms]
* 2026-11-16, [https://radostin.io/files/stoyanov-canopie-hpc-2026.pdf Parallel Restore-Optimized Snapshot Compression for Cost-Efficient Inference Serving]
* 2025-11-17, [https://radostin.io/files/stoyanov-canopie-hpc-2025.pdf Engine-Agnostic Model Hot-Swapping for Cost-Effective LLM Inference]
* 2026-09-21, [https://arxiv.org/html/2609.25451v1 Fast Recovery for LLM Serving via Decoupled Device Memory Lifetime in Dynamo]
* 2025-09-16, [https://www.idt.mdu.se/~aps01/research/2025_Johansson/2025-JSA-Johansson.pdf Checkpointing and State Transfer for Industrial Controller Redundancy]
* 2026-07-22, [https://doi.org/10.1016/j.fsidi.2026.302114 Forensic Analysis of Container Snapshot Chains for Post-event Reconstruction]
* 2026-07-14, [https://radostin.io/blog/criu-memory-compression/ Accelerating Model Inference with On‑the‑Fly Snapshot Compression]
* 2025-07-14, [https://arxiv.org/abs/2405.12079 PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation]
* 2025-06-13, [https://doi.org/10.1007/978-3-032-10507-3_3 Kubernetes Scheduling with Checkpoint/Restore: Challenges and Open Problems]
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* 2026-07-09, [https://blog.doubleword.ai/what-happens-when-you-checkpoint-a-cuda-process Reverse-engineering NVIDIA's cuda-checkpoint for Faster Cold Starts]
* 2026-06-29, [https://j9s.io/posts/fast_vllm/ Fast vLLM: cutting cold starts by 20x]
* 2026-06-25, [https://is.muni.cz/th/c4unc/ Elastic Resource Management for Heterogenous Container-Based Clouds]
* 2026-06-01, [https://developer.nvidia.com/blog/nvidia-dynamo-snapshot-fast-startup-for-inference-workloads-on-kubernetes/ NVIDIA Dynamo Snapshot: Fast Startup for Inference Workloads on Kubernetes]
* 2026-05-12, [https://modal.com/blog/truly-serverless-gpus How we achieved truly serverless GPUs]
* 2026-04-27, [https://doi.org/10.1145/3805621.3807612 Towards On-the-Fly Snapshot Memory Compression for Low-Latency Elastic Inference Serving Systems]
* 2026-04-06, [https://fergusfinn.com/blog/fast-sglang-starts/ Cloudburst: 70x faster cold(ish) starts for SGLang]
* 2026-02-24, [https://www.usenix.org/conference/fast26/presentation/zeng GPU Checkpoint/Restore Made Fast and Lightweight]
* 2026-01-21, [https://kubernetes.io/blog/2026/01/21/introducing-checkpoint-restore-wg/ Announcing the Checkpoint/Restore Working Group]
* 2025-11-17, [https://doi.org/10.1145/3731599.3767354 Engine-Agnostic Model Hot-Swapping for Cost-Effective LLM Inference]
* 2025-09-16, [https://www.idt.mdu.se/~aps01/research/2025_Johansson/2025-JSA-Johansson.pdf Checkpointing and State Transfer for Industrial Controller Redundancy]
* 2025-09-08, [https://doi.org/10.1145/3748355.3748373 bpfCP: Efficient and Extensible Process Checkpointing via eBPF]
* 2025-08-13, [https://www.usenix.org/conference/usenixsecurity25/presentation/li-ao Software Availability Protection in Cyber-Physical Systems]
* 2025-07-14, [https://arxiv.org/abs/2405.12079 PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation]
* 2025-06-18, [https://is.muni.cz/th/ekn8q/ Improving Checkpoint/Restore Functionality in Kubernetes]
* 2025-06-17, LWN.net: [https://lwn.net/Articles/1024747/ A parallel path for GPU restore in CRIU]
* 2025-06-13, [https://doi.org/10.1007/978-3-032-10507-3_3 Kubernetes Scheduling with Checkpoint/Restore: Challenges and Open Problems]
* 2025-06-12, [https://doi.org/10.1109/TNSM.2025.3579051 MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge]
* 2025-06-12, [https://doi.org/10.1109/TNSM.2025.3579051 MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge]
* 2025-05-14, [https://doi.org/10.1145/3672608.3707723 Elastic Vertical Memory Management for Container-based Stateful Applications in Kubernetes]
* 2025-05-14, [https://doi.org/10.1145/3672608.3707723 Elastic Vertical Memory Management for Container-based Stateful Applications in Kubernetes]