Difference between revisions of "Academic Research"

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[SoCC '24] On-demand and Parallel Checkpoint/Restore for GPU Applications
 
[SoCC '24] On-demand and Parallel Checkpoint/Restore for GPU Applications
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[arXiv '23] PARALLELGPUOS: A Concurrent OS-level GPU Checkpoint and Restore System using Validated Speculation
  
 
[SC-W '23] Checkpoint/Restart for CUDA Kernels
 
[SC-W '23] Checkpoint/Restart for CUDA Kernels
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Revision as of 23:49, 10 December 2024

  • GPU CRIU

[SoCC '24] On-demand and Parallel Checkpoint/Restore for GPU Applications

[arXiv '23] PARALLELGPUOS: A Concurrent OS-level GPU Checkpoint and Restore System using Validated Speculation

[SC-W '23] Checkpoint/Restart for CUDA Kernels


  • CRIU for Migration

[APNet '24] Software-based Live Migration for Containerized RDMA

[SEATED '24] Live Migration of Multi-Container Kubernetes Pods in Multi-Cluster Serverless Edge Systems

[ICT '24] Packet Buffering to Minimize Service Downtime and Packet Loss During Redundancy Switchover

[SIGMOD/PODS '24] Demonstration of ElasticNotebook: Migrating Live Computational Notebook States

[ICDCS '24] Dapper: A Lightweight and Extensible Framework for Live Program State Rewriting

[Cloud '24] FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0

[TOCS '22] H-Container: Enabling Heterogeneous-ISA Container Migration in Edge Computing

[VEE '22] Portkey: hypervisor-assisted container migration in nested cloud environments


  • CRIU Security

[APSys '24] Towards Efficient End-to-End Encryption for Container Checkpointing Systems

[eBPF '24] Custom Page Fault Handling With eBPF

[ARES '24] Don't, Stop, Drop, Pause: Forensics of CONtainer CheckPOINTs (ConPoint)

[ATC '22] RRC: Responsive Replicated Containers


  • CRIU for Database

[Journal of Cloud Computing '24] MDB-KCP: persistence framework of in-memory database with CRIU-based container checkpoint in Kubernetes

[VLDB '23] Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level

[EuroSys '21] On-demand-fork: a microsecond fork for memory-intensive and latency-sensitive applications