Virtual machine time travel using continuous data protection and checkpointing

Ta-Shma, Paula; Laden, Guy; Ben-Yehuda, Muli; Factor, Michael

doi:10.1145/1341312.1341341

Cited by 28 publications

(10 citation statements)

References 24 publications

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“…Also relevant is recent work on Octet, a JVM which provides a mechanism for performing low overhead deterministic replay with concurrent programs [9]. Checkpoint (snapshot) extraction is another topic that has been studied in a number of contexts including faultrecovery [50] and process migration [18,37,44]. The idea of piggybacking on the GC to perform a task (at low cost) has also been used for efficient heap invariant checking [46].…”

Section: Related Workmentioning

confidence: 99%

Tardis

Barr

Marron

2014

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages &Amp; Applications

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Developers who set a breakpoint a few statements too late or who are trying to diagnose a subtle bug from a single core dump often wish for a time-traveling debugger. The ability to rewind time to see the exact sequence of statements and program values leading to an error has great intuitive appeal but, due to large time and space overheads, time-traveling debuggers have seen limited adoption.A managed runtime, such as the Java JVM or a JavaScript engine, has already paid much of the cost of providing core features -type safety, memory management, and virtual IO -that can be reused to implement a low overhead timetraveling debugger. We leverage this insight to design and build affordable time-traveling debuggers for managed languages. TARDIS realizes our design: it provides affordable time-travel with an average overhead of only 7% during normal execution, a rate of 0.6 MB/s of history logging, and a worst-case 0.68s time-travel latency on our benchmark applications. TARDIS can also debug optimized code using time-travel to reconstruct state. This capability, coupled with its low overhead, makes TARDIS suitable for use as the default debugger for managed languages, promising to bring time-traveling debugging into the mainstream and transform the practice of debugging.

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Section: Related Workmentioning

confidence: 99%

Tardis

Barr

Marron

2014

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages &Amp; Applications

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“…Parallax [27] developed by Warfield et al is a storage subsystem for Xen to be used in cluster Xen Virtual Machines. The solution proposed by the authors makes coupled checkpoints of both memory and disk using a Copy-on-Write mechanism (CoW) to maintain the remote images.…”

Section: Related Workmentioning

confidence: 99%

“…Let G(t) [27], [28] denote the expected (average) amount of execution time required to perform t units of useful computation. (Useful computation excludes the time spent on checkpointing and migration of jobs.)…”

Section: Checkpointing Overhead Ratiomentioning

confidence: 99%

IMCLA: Performance Evaluation of Integrated Multilevel Checkpointing Algorithms using Checkpointing Efficiency

Singh¹,

Chhabra²,

Singh³

2013

Int. J. Com. Dig. Sys.

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Main objective of this research work is to improve the checkpoint efficiency for integrated multilevel checkpointing algorithms (IMLCA) and prevent checkpointing from becoming the bottleneck of cloud data centers. In order to find an efficient checkpoint interval, checkpointing overheads has also considered in this paper. Traditional checkpointing methods stores persistently snapshots of the present job state and use them for resuming the execution at a later time. The attention of this research is strategies for deciding when and whether a checkpoint should be taken and evaluating them in regard to minimizing the induced monetary costs. By varying rerun time of checkpoints performance comparisons are which will be used to evaluate optimal checkpoint interval. The purposed fail-over strategy will work on application layer and provide highly availability for Platform as a Service (PaaS) feature of cloud computing.

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“…A few techniques have been developed in contexts other than High Performance Computing leveraging the concept of virtualization. These target the debugging of embedded systems [24], distribute systems [25], or entire operating systems using time-travel techniques [26,27]. All of them target virtual machines (such as Xen [28] or IBM Hypervisor [29]) where the entire operating system is virtualized.…”

Section: Related Workmentioning

confidence: 99%

Debugging Large Scale Applications in a Virtualized Environment

Gioachin

Zheng

Kalé

2011

Languages and Compilers for Parallel Computing

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Abstract. With the advent of petascale machines with hundreds of thousands of processors, debugging parallel applications is becoming an increasing challenge. Aside from the complicated debugging techniques required to debug applications at such scale, it is often difficult to gain access to these machines for a sufficient period of time, if at all. Some existing parallel debuggers are capable of handling these machines, but they still require the whole machine to be allocated. In this paper, we present an innovative approach to address debugging on such extreme scales. By leveraging the concept of object-based processor virtualization, our technique enables debugging of even a million processor execution under a simulated environment using only a relatively small cluster. We describe the obstacles we overcame to achieve this goal within two message passing programming models: CHARM++ and MPI. We demonstrate the results using real world applications such as Molecular Dynamics and Cosmological simulation programs.

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Virtual machine time travel using continuous data protection and checkpointing

Cited by 28 publications

References 24 publications

Tardis

Tardis

IMCLA: Performance Evaluation of Integrated Multilevel Checkpointing Algorithms using Checkpointing Efficiency

Debugging Large Scale Applications in a Virtualized Environment

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