Accelerated Degradation Tests Applied to Software Aging Experiments

Matias, Rivalino; Barbetta, Pedro Alberto; Trivedi, Kishor S.; Filho, Paula

doi:10.1109/tr.2009.2034292

Cited by 67 publications

(22 citation statements)

References 15 publications

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“…RELATED WORK The authors of [32] present an approach to apply accelerated degradation tests on software aging experiments. The paper uses a particular aging factor to control the aging effects on the experimental setup.…”

Section: ) General Discussionmentioning

confidence: 99%

SWARE: An approach to support software aging and rejuvenation experiments

Melo

Araújo

Umesh

et al. 2017

JADI

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Abstract-The need for uninterrupted computing services demands for high system availability and reliability. Techniques and methods to estimate and analyze system dependability are essential to support software deployment and maintenance. Soft-ware aging appears as a relevant issue in this context. Software aging is a cumulative process which leads long-running systems to hangs or failures. Software rejuvenation is used to counteract software aging. Software rejuvenation usually comprises system reboot or application restart to bringing software to a stable fresh state. This paper proposes an approach to investigate software aging effects and software rejuvenation effectiveness on a single experiment. The approach has three phases: (i) Stress Phase -stress environment with the accelerated workload to induce bugs activation; (ii) Wait Phase -stop workload submission to observe the system state after workload submission; (iii) Rejuvenation Phase -find the impacts caused by the software rejuvenation. We named our approach as SWARE (Stress-Wait-Rejuvenation). To validate the SWARE approach, we present a case study. This case study consists of an experiment of VM Live Migration as rejuvenation mechanism for VMM software aging. The considered testbed is a Private Cloud with OpenNebula and KVM 1.0. The obtained results show that VM live migration is useful as rejuvenation for VMM software aging.

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Section: ) General Discussionmentioning

confidence: 99%

SWARE: An approach to support software aging and rejuvenation experiments

Melo

Araújo

Umesh

et al. 2017

JADI

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“…The ALT approach has been successfully applied in many engineering fields [36], [37] to significantly reduce the experimentation time. In [36] and [37], the authors employed the ALT approach to solve the optimal rejuvenation problem.…”

Section: Methodsmentioning

confidence: 99%

Optimization of Two-Granularity Software Rejuvenation Policy Based on the Markov Regenerative Process

et al. 2016

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. Abstract-Software rejuvenation is a proactive software control technique that is used to improve a computing system performance when it suffers from software aging. In this paper, a two-granularity inspection-based software rejuvenation policy, which works as a closed-loop control technique, is proposed. This policy mitigates the negative impact of two-level software aging. The two levels considered are the user-level applications and the operating system. A Markov regenerative process model is constructed based on the system condition. We obtain the degradation rate of the application software and operating system from fault injection experiments. The diagnostic accuracy of the adopted monitor and analysis system, which is applied to inspect the application software and operating system, is considered as we provide the optimal rejuvenation strategies. Finally, the availability and the overall loss probability with their corresponding optimal inspection time intervals are obtained numerically based on the parameter values estimated from the experiments. Experimental results show that two-granularity software rejuvenation is much more effective than traditional single-level software rejuvenation. In our experimental study, when two-granularity software rejuvenation is used, the unavailability and the overall loss probability of the system were reduced by 17.9% and 2.65%, respectively, in comparison with the single-level rejuvenation.Index Terms-Diagnostic accuracy, Markov regenerative process (MRGP), multigranularity software aging, overall loss probability, software rejuvenation.

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“…This scenario is a standard for software to be healthy; 2) In scenario 2, we increase the access to HDFS, simulating memory leakage, and accelerate HDFS software downturn by nnbench [14], resulting in a rapid reduction of available memory in JVM. The interval is 10s, and 5500 data are collected.…”

Section: Case Studymentioning

confidence: 99%

Software Health Measurement Method Based on Aging-related Bugs

Zhai¹,

Li²,

You³

2017

dtcse

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Abstract. Aging-related bugs can lead to software aging, whose performance is the slow response on software system though the software does not crash. This paper aims to propose the measurement method of software health to quantitatively show the impact of aging-related bugs on software. The effect of the bugs and the elements were analyzed. The Gaussian mixture model was developed to measure the degree of software health, which provide the basis for the software failure alarming and failure prediction. Finally, the details of the method were shown by a case study on Hadoop Distributed File System.

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Accelerated Degradation Tests Applied to Software Aging Experiments

Cited by 67 publications

References 15 publications

SWARE: An approach to support software aging and rejuvenation experiments

SWARE: An approach to support software aging and rejuvenation experiments

Optimization of Two-Granularity Software Rejuvenation Policy Based on the Markov Regenerative Process

Software Health Measurement Method Based on Aging-related Bugs

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