Exploring OS-based full-system deterministic replay

Yoon, Hyun Soo; Majeed, Shakaiba; Ryu, Minsoo

doi:10.1145/3167132.3167247

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…Record and Replay (RnR) systems have been researched and applied in many fields. They can be classified into following categories: application level [11,12,24], OS kernel level [3,35], network traffic level [20,21,23] and VM level [25ś29].…”

Section: Related Workmentioning

confidence: 99%

“…Because of the versatilities, RnR frameworks are designed at various levels for different purposes, such as application level [13,22,30], OS level [3,35], virtualization level [19,27,29]. Although RnR systems of Application and OS are more lightweight than VM RnR, they require modification of OS code or recompilation of the application, thus limited to open source-based operating system [11].…”

Section: Introductionmentioning

confidence: 99%

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ClusterRR: a record and replay framework for virtual machine cluster

Wang

Hao

Cui

2022

Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments

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The Record and Replay (RnR) technology provides the ability to reproduce past execution of systems deterministically. It has many prominent applications, including fault tolerance, security analysis, and failure diagnosis. In system virtualization, previous RnR researches mainly focus on individual VM, including coherent replaying of multi-core systems, reducing performance penalty and storage overhead. However, with the emerging of distributed systems deployed in virtual machine clusters (VMC), the existing RnR technology of individual VM can not meet the requirements of analyzers and developers. The critical challenge for VMC RnR is to maintain the consistency of global state. In this paper, we propose ClusterRR, a RnR framework for VMC. To solve the inconsistency problem, we propose coordination protocols to schedule the record and replay process of VMs. Meanwhile, we employ a Hybrid RnR approach to reduce the performance penalty and storage costs caused by recording network events. Moreover, we implement ClusterRR on QEMU/KVM platform and utilize a network packets retransmission framework to guarantee the reproducibility of VMC replay. Last, we conduct a series of experiments to measure its efficiency and overhead. The results show that ClusterRR would efficiently replay the execution of the whole VMC at instruction-level granularity. CCS Concepts: • Software and its engineering → Operating systems; • Computer systems organization → Cloud computing.

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Section: Related Workmentioning

confidence: 99%