Analyzing Software Rejuvenation Techniques in a Virtualized System: Service Provider and User Views

Bai, Jing; Chang, Xiaolin; Machida, Fumio; Trivedi, Kishor S.; Han, Zhen

doi:10.1109/access.2019.2963397

Cited by 16 publications

(8 citation statements)

References 35 publications

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“…With the advent of peer-to-peer systems, there has been more emphasis on the need to discover and exploit diverse groups, multiple features, and distributed and dynamic resources. Bai et al [16] quantitatively analyzed software rejuvenation techniques from service provider and user views in a virtualized system deploying virtual machine monitor (VMM) reboot and live virtual machine migration techniques for rejuvenation. They constructed an analytical model by using a semi-Markov process (SMP) and derive formulas for calculating application service (AS) availability and job completion time.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

Kalantari¹,

Ebrahimnejad²,

Motameni³

2020

Turk J Elec Eng & Comp Sci

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Software rejuvenation is an effective technique to counteract software aging in continuously running applications such as web service-based systems. In these systems, web services are allocated based on the requirements of receivers and the facilities of servers. One of the challenges while assigning web services is how to select appropriate server to reduce faults. In this paper, we propose dynamic software rejuvenation as a proactive fault-tolerance technique based on the neural fuzzy system. While considering a threshold for the rejuvenation of each web service, we completed the training based on the features of the service providers as well as the requirements of the receivers. The results of simulations revealed that our strategy can decrease the failure rate in comparison with state-of-the-art strategies and improve system availability in web services.

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Section: Literature Reviewmentioning

confidence: 99%

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

Kalantari¹,

Ebrahimnejad²,

Motameni³

2020

Turk J Elec Eng & Comp Sci

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“…Множину несправностей можна розбити на підмножини за рядом ознак, наприклад, за ознакою етапу прояву (конструктивні і експлуатаційні несправності). У дослідженнях [20,21] розглядається окрема група дефектів, пов'язаних зі старінням "aging" програмного забезпечення, яка була включена до розширеної фасетної класифікації несправностей.…”

Section: принцип комплексного врахування різних видів відмов та впливunclassified

Методологія Забезпечення Гарантоздатності Інформаційно-Керуючих Систем З Використанням Багатоцільових Стратегій Обслуговування

Поночовний¹,

Харченко²

2020

reks

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The article considers the methodology of ensuring the dependability of information and control systems using multi-purpose maintenance strategies. The relevance of research is due to the need to ensure the functioning of dependable information and control systems in the face of changes in requirements, environmental parameters, and the manifestation of unspecified failures of their components. The methodology is presented at the system level as a combination of the concept of multi-purpose maintenance, as well as the principles of taking into account changes in the information and control system and environment during the life cycle; comprehensive consideration of different types of failures, and the effects of change; multi-purpose maintenance and combines a set of new models and methods for determining the parameters of dependability information and control systems and the choice of parameters for their maintenance procedures. The proposed concept of multi-purpose maintenance is obtained by developing the Fon-Neumann paradigm and is formulated as a concept of building reliable and secure systems from insufficiently dependable components and multi-purpose maintenance on combined strategies in changing conditions and environment. The scope of the proposed concept is applicable in cases where the principles of von-Neumann do not allow building a viable system due to economic, temporal, or other reasons. In this case, the use of principles, methods, and models that are conceptual, extends to information and control systems built using maintained components and system multi-purpose service strategies. The proposed principle of taking into account changes involves the expansion of the classical control circuit of the fault-tolerant system, which response to the fault occurrence as errors and failures. The principle of comprehensive consideration of different types of failures and the effects of change is a continuation of the principles of unity and connection during the procedures of system analysis. It is also a logical continuation of the facet arrangement of fault types and chains of causal relationships from faults and defects to faults, failures, and errors. Within the framework of the proposed methodology, multi-purpose maintenance strategies, a set of options for goals, types, processes, properties, and parameters of information and control systems have been developed, which reduces model uncertainty and justifies practical measures to ensure dependability at different stages of the life cycle.

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“…Similar work is [9], uses two semi-Markov processes to plan optimal rejuvenation policy for the UNIX system, with one for building the rejuvenation model and with the other for obtaining the failure distribution related parameters required by the rejuvenation model. Bai et al [38] uses a semi-Markov process to construct the analytical model for studying software rejuvenation in virtualized systems. Garg et al [17] use the Markov regenerative stochastic petri net to model the rejuvenation behavior of the client-server type system, unavailability function is formulated based on the model.…”

Section: Relevant Workmentioning

confidence: 99%

Planning Optimal Rejuvenation Policy for Aging Software Systems via a Two-Layer Model

Wang

et al. 2020

IEEE Access

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Software rejuvenation is a proactive fault management technique widely used for preventing performance degradation and failures due to software aging. It works by proactively terminating the system, cleaning the internal state of the system, and restarting the system. Since rejuvenation incurs extra system overhead and downtime cost, it is important to determine the optimal time to trigger rejuvenation. This paper proposes a two-layer model to characterize the system failure behavior and rejuvenation process under aging condition, planning a time-based rejuvenation policy maximizing the system availability and minimizing downtime cost. The lower layer is a failure model that uses an analytical model and runtime measurements to build the failure distribution of the aging system. The upper layer is a rejuvenation model that takes the failure distribution from the lower layer as input to formulate the availability function and downtime cost function. Taking these two functions as optimization targets, we can obtain the optimal rejuvenation time. Compared with the traditional analytical model, the two-layer model modeling software failure considers runtime measurements, which can describe the aging behavior more accurately. In the experimental part, we comprehensively evaluate the two-layer model by studying the aging of the web search system. The results show that the two-layer model reduces unavailability by 18.18% and reduces downtime cost by 31.22% in comparison with the traditional analytical model. INDEX TERMSSoftware aging, proactive rejuvenation, two-layer model, availability, downtime cost. ACRONYMS p.d.f. probability density function c.d.f. cumulative distribution function CTMC Continuous-time Markov Chain MRGP Markov Regenerative Processes Cox model Cox proportional hazard model MLE Maximum Likelihood Estimation ALT Accelerated Life Test SLA Service Level Agreement min minutes avail-Mem available Memory AIC Akaike Information Criterion NOTATION ( • ) hazard function (•) failure distribution time to trigger rejuvenation ( ) availability function ( ) downtime cost function

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Analyzing Software Rejuvenation Techniques in a Virtualized System: Service Provider and User Views

Cited by 16 publications

References 35 publications

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

A fuzzy neural network for web service selection aimed at dynamic software rejuvenation

Методологія Забезпечення Гарантоздатності Інформаційно-Керуючих Систем З Використанням Багатоцільових Стратегій Обслуговування

Planning Optimal Rejuvenation Policy for Aging Software Systems via a Two-Layer Model

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