Modeling and Simulation of Reliability of Networked and Distributed Systems: A Case Data Reliability Model

Modeling and Simulation of Reliability of Networked and Distributed Systems: A Case Data Reliability Model

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2023 by IJRES Journal
Volume-10 Issue-4
Year of Publication : 2023
Authors : Paul K.M. Masenya, Seleman Ismail
DOI : 10.14445/23497157/IJRES-V10I4P103

How to Cite?

Paul K.M. Masenya, Seleman Ismail, "Modeling and Simulation of Reliability of Networked and Distributed Systems: A Case Data Reliability Model," International Journal of Recent Engineering Science, vol. 10, no. 4, pp. 14-18, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V10I4P103

Abstract
Data are the raw facts, the material for obtaining information. Information is an increment in knowledge: it contributes to the general framework of concepts and facts we know. The information relies on the context and the recipient's general knowledge for its significance, i.e., output after data has been processed. Information systems (including networked and distributed systems) use data stored in computer databases to provide needed information. A database is an organized collection of interrelated data reflecting a major aspect of a firm's activities. Quality information (data) needs to possess several attributes such as Timely, Complete, Concise, Relevant, Precise, and Form (The level of detail, tabular versus graphic display, quantitative versus qualitative form, and relies upon either Internal or External situations). Failure to meet those attributes can result in a catastrophic impact. That is why we propose a formulation of the mathematical model to measure and predict the data reliabilities in networked and distributed systems. The proposed model discussed depends on general control, application control, and user control, whether internal or external, as well as techniques employed to ensure that data are accurate, complete, relevant, and valid.

Keywords
Data model, Data reliability model, Mathematical modeling of Data reliability.

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