Warm-spare provisioning computing network with switching failure, common cause failure, vacation interruption, and synchronized reneging

Shekhar, Chandra; Kumar, Neeraj; Gupta, Amit; Kumar, Amit; Varshney, Shreekant

doi:10.1016/j.ress.2020.106910

Cited by 18 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many research studies have been expended in CCF modeling, 20 parameter estimation, 21 and assessment of CCF rates. 22 EDA method is proposed in purpose of solving the limitations of the existing CCF model, such as combinatorial explosion…”

Section: Eda Methods For Ccfmentioning

confidence: 99%

“…Many research studies have been expended in CCF modeling, 20 parameter estimation, 21 and assessment of CCF rates 22 . EDA method is proposed in purpose of solving the limitations of the existing CCF model, such as combinatorial explosion with a complicated system structure, 23 single CC that influences a entire system, 24 concerned with a specific system structure, 25 and so forth.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A reliability modeling method for the system subject to common cause failures and competing failures

Zeng

Sun

2022

Quality & Reliability Eng

View full text Add to dashboard Cite

Competing failures are time domain contention situations between the propagated failures (PFs) that originate from dependent components and the failure isolation caused by the trigger component. The methods based on combinatorial analysis commonly used in the analysis of competing failures require a complicated formula derivation and model reduction process. This paper proposes an integrated model based on generalized stochastic Petri nets (GSPNs) for analyzing the competing failures in the system, and further considers the effect of common cause failures (CCFs). The proposed modeling method inherits the advantages of GSPNs and provides a simplified method to compute the reliability of systems, which affect by competing failures and CCFs. Finally, the proposed method is applied in the flight control system (FCS) and demonstrated by the efficient decomposition and aggregation (EDA) method and combinatorial analysis method.

show abstract

Section: Eda Methods For Ccfmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A reliability modeling method for the system subject to common cause failures and competing failures

Zeng

Sun

2022

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…The concepts of switching failure, common cause failure and vacations along with warm standby units in computer networks have been used extensively [41]. The technique for the development of a stochastic model of cloud infrastructure is discussed in the literature [42].…”

Section: Related Workmentioning

confidence: 99%

“…Steady state Availability (SSA) = P 1 (t) + P 2 (t) + P 3 (t) (41) As the mathematical model ( 9)-( 39) along with the initial condition ( 40) is very complex and in this situation, numerical solution is recommended instead of an analytical approach. The availability of the cloud infrastructure is given by.…”

Section: Stochastic Model Development and Analysismentioning

confidence: 99%

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

Gupta¹,

Bhagat²,

Saini³

et al. 2022

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

In the next generation of computing environment e-health care services depend on cloud services. The Cloud computing environment provides a real-time computing environment for e-health care applications. But these services generate a huge number of computational tasks, real-time computing and comes with a deadline, so conventional cloud optimization models cannot fulfil the task in the least time and within the deadline. To overcome this issue many resource optimization meta-heuristic models are been proposed but these models cannot find a global best solution to complete the task in the least time and manage utilization with the least simulation time. In order to overcome existing issues, an artificial neural-inspired whale optimization is proposed to provide a reliable solution for healthcare applications. In this work, two models are proposed one for reliability estimation and the other is based on whale optimization technique and neural network-based binary classifier. The predictive model enhances the quality of service using performance metrics, makespan, least average task completion time, resource usages cost and utilization of the system. From results as compared to existing algorithms the proposed ANN-WHO algorithms prove to improve the average start time by 29.3%, average finish time by 29.5% and utilization by 11%.

show abstract

“…Considering the existence of these dependencies is crucial in such a fundamental issue as component maintenance since, as affirmed by such authors as Antomarioni et al [4] , especially in the case of continuous processes, occurrence of an event may have a significant impact on other aspects (even in terms of potential occurrence of failures). In this context, particular attention should be dedicated to the preliminary reliability analysis of multi-state machining systems with common cause failure aimed at designing suitable safety measures [63] . For this reason, the use of the Analytic Network Process (ANP) proposed in the present paper appears to be particularly suitable for various applications, i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

A risk evaluation framework for the best maintenance strategy: The case of a marine salt manufacture firm

Carpitella

Mzougui

Benítez

et al. 2021

Reliability Engineering & System Safety

View full text Add to dashboard Cite

This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

show abstract

Warm-spare provisioning computing network with switching failure, common cause failure, vacation interruption, and synchronized reneging

Cited by 18 publications

References 29 publications

A reliability modeling method for the system subject to common cause failures and competing failures

A reliability modeling method for the system subject to common cause failures and competing failures

Hybrid Whale Optimization Algorithm for Resource Optimization in Cloud E-Healthcare Applications

A risk evaluation framework for the best maintenance strategy: The case of a marine salt manufacture firm

Contact Info

Product

Resources

About