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Article
Publication date: 1 July 2020

Vaishali Tyagi, Nitesh Rawat and Mangey Ram

The purpose of this work is to develop a prototype of flood alerting system (FAS) based on the Internet of Things (IoT) to save the lives and property by alerting the…

Abstract

Purpose

The purpose of this work is to develop a prototype of flood alerting system (FAS) based on the Internet of Things (IoT) to save the lives and property by alerting the people about flood. The proposed system can permit detection and evaluation of threating events to take place before it hits a network or community.

Design/methodology/approach

Connecting water bodies or water channels to the cities is a sign of development and growth, but sometimes when these connected water channels gets overfilled due to some reasons then they can create horrendous situation, one of such situations is flood. Hence, there is a need to find a way, in order to alert when there will be flood-related conditions and to predict if there are any such conditions in near future. In this work, a model based on FAS, that can alert when flood-related conditions are there, is proposed. Mathematical modelling of the model is done through the Markov process to obtain the state transition probabilities, and these probabilities are solved by Laplace transformation. The performance of the proposed system is affected by good or bad working of its components. Thus, the performance characteristics are expected in terms of component failure rates. Failure and repair rate of FAS's components follow exponential and general distribution.

Findings

Using the proposed Markov model, performance characteristics of the model like availability, reliability, mean time to failure (MTTF), profit and sensitivity have been calculated and explored by taking numerical illustration. Graphical representation of performance characteristics is done to make the results more understandable.

Originality/value

This work presents a Markov process-based reliability model of FAS, which provides the information about failures and working of the system's components. Also, it provides information about components and failures which majorly affect the system reliability.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

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Article
Publication date: 27 July 2020

Monika Manglik, Nitesh Rawat and Mangey Ram

To analyze the performance of multistate cloud computing transition system through the various reliability measures is the purpose of this paper.

Abstract

Purpose

To analyze the performance of multistate cloud computing transition system through the various reliability measures is the purpose of this paper.

Design/methodology/approach

In this article, a mathematical model for a multistate cloud computing transition system with various types of failures has been analyzed by using the Markov process, supplementary variable technique and Laplace transformation.

Findings

Various reliability measures such that reliability, availability, mean time to failure (MTTF), mean time to repair and cost analysis have also been analyzed. This article presents some geographic illustrations for the practical utility of the model.

Originality/value

The authors developed a mathematical model to analyze the reliability of the cloud computing transition system by considering the possible failures.

Details

International Journal of Quality & Reliability Management, vol. 37 no. 6/7
Type: Research Article
ISSN: 0265-671X

Keywords

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