Some Studies on Performability Analysis of Safety Critical Systems

Ahamad, Shakeel; Ratneshwer,

doi:10.1016/j.cosrev.2020.100319

Cited by 7 publications

(5 citation statements)

References 35 publications

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“…The performability of an SCS can be assessed using a variety of techniques, including analysis techniques, probability-distribution-based methodologies, stochastic modeling, etc. [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Byun,

Lee

2024

JMSE

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This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, searching for specific targets, and topographic mapping. For evaluating the performability of an AUV, it is necessary to focus on the mission-dependent components and/or subsystems, because each mission exploits different combinations of devices and equipment. In this paper, we define a performability index that quantifies the ability of an AUV to perform the desired mission. The novelty of this work is that the performability of the AUV is evaluated based on the reliability and performance of the relevant resources for each mission. In this work, the component weight, expressing the degree of relevance to the mission, is determined using a ranking system. The proposed ranking system assesses the performance of the components required for each mission. The proposed method is demonstrated under various mission scenarios with different sets of faults and performance degradations.

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“…The performability of an SCS can be assessed using a variety of techniques, including analysis techniques, probability-distribution-based methodologies, stochastic modeling, etc. [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Byun,

Lee

2024

JMSE

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“…This is related to our research as we study the trade-offs of reliability and performance. Ahamad and Ratneshwer [1] provide a review on the performability of Safety-Critical Systems (SCS). They study the available approaches, as well as the metrics to evaluate the performability of SCS.…”

Section: Studies On Performabilitymentioning

confidence: 99%

“…Even for an expert architect, it is hard to consider the multifaceted design of IoT-cloud integration applications without supporting tools and frameworks. Assume there is a privacy requirement for an application to restrict the IoT device data access to specific cloud services, e.g., as imposed by the general data protection regulation 1 . In such a case, dynamic routers in the cloud, e.g., API gateways [33], message brokers [19] or sidecars [16], [21], [26] can route or block device data based on specific rules.…”

Section: Introductionmentioning

confidence: 99%

Smart and Adaptive Routing Architecture: An Internet-of-Things Traffic Manager Based on Artificial Neural Networks

Amiri,

Zdun

2023

2023 IEEE International Conference on Software Services Engineering (SSE)

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Many studies have been performed on integrating the Internet of Things (IoT) with cloud services. As these systems become widely used, quality metrics are of concern. For example, users might specify access control to restrict their sensitive data being processed in the cloud. Routers, e.g., API gateways, message brokers, or sidecars, can provide this access control by blocking or routing device data to a specific cloud service. However, a static routing application might not suit the dynamic behavior of IoT applications well. For example, in a centralized schema, where all device data is routed to a component for control checking, performance can be an issue. On the other hand, distributed routing can harm the reliability of a system, as device data might be lost due to an unresponsive service. We present the Smart and Adaptive Routing (SAR) architecture that creates an optimal reconfiguration solution using a deep neural network based on the quality metrics of an IoT application. To design our architecture, we give a background of the published studies and a review of the gray literature, e.g., practitioner blogs, to categorize the knowledge in the domain of IoT-cloud traffic management. We systematically evaluate our approach in an extensive evaluation of 4500 cases and compare SAR with an empirical data set of 1200 hours. The results show that our approach significantly improves quality-of-service measures by adapting the IoT-cloud system at runtime.

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“…Existing research has delved into understanding the time-varying dynamics of NHPP which is used in finance to simulate the frequency of market events or the arrival rate of financial transactions over time [1]. The NHPP is used in telecommunications to simulate the pace at which calls or messages arrive in communication networks [2]; [3]. The Markov property, which states that future occurrences solely depend on their current state and not on the process's prior history, is one of the NHPP's key characteristics [4].…”

Section: Introductionmentioning

confidence: 99%

ParametersEstimation of a Proposed Non-Homogeneous Poisson Process and Estimation of the Reliability Function Using the Gompertz Process: A Comparative Analysis of Artificially Intelligent and Traditional Methods

Hussain,

Oraibi,

Sulaiman

et al. 2024

Iraqi Journal for Computer Science and Mathematics

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This work presents a novel approach to enhancing the rate of occurrence of non-homogeneousPoisson processes (NHPP) by utilizing the Gompertz distribution as the rate of occurrence. The primary objectiveof this study is to determine the parameters of the new process using both traditional methods and intelligenttechnology, specifically particle swarm optimization (PSO). Additionally, the study aims to estimate the reliabilityfunction of the process. The suggested model is simulated to achieve these goals, and the results are comparedamong various estimation techniques to identify the most accurate estimator. The study demonstrates that whenpredicting the time rate of occurrence of the proposed Gompertz process and its reliability function, the PSOalgorithm outperforms other approaches. Furthermore, this research showcases a practical application utilizing realdata from the Mosul power facility. Specifically, the data pertains to the stoppage times of two consecutive units ofthe Mosul Dam power stations from January 1st, 2021 to January 1st, 2022. Overall, this study introduces a novelprocess based on the Gompertz distribution to improve the rate of occurrence of NHPP. It employs particle swarmoptimization to calculate the process parameters and estimate the reliability function. The superiority of the PSOalgorithm is demonstrated through comprehensive comparisons. The practical application using data from theMosul power facility further validates the effectiveness of the proposed approach.

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Some Studies on Performability Analysis of Safety Critical Systems

Cited by 7 publications

References 35 publications

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

Smart and Adaptive Routing Architecture: An Internet-of-Things Traffic Manager Based on Artificial Neural Networks

ParametersEstimation of a Proposed Non-Homogeneous Poisson Process and Estimation of the Reliability Function Using the Gompertz Process: A Comparative Analysis of Artificially Intelligent and Traditional Methods

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