Reliability Assessment Model for Big Data Structure of Internet of Things
Abstract: To improve Big Data
reliability, the Big Data Structure of Internet of Things should consider different
reliability rules while building the Big Data Structure of Internet of Things.
In this paper, anassessment model to assess Big Data Structure of Internet of
Things is presented. This assessment model is based on two different
reliability rules: connection degree and relevance. The main goal of this
research is to implement an early assessment of the Big Data Structure of
Internet of Things for the purpose of its improvement in order to make the
assessing process more productive. Structure Design is an important problem in
Big Data engineering. It makes assessing more productive as it executes the
assessing in an initial stage of the Big Data development. This assessment
model consists of two phases: Big Data Structure of Internet of Things assessment
phase, and module assessment phase. The model is confirmed by using a case
study: Environmental video System. In each phase, a logical reasoning system is
used to perform the assessment process based on connection degree and relevance
assessing rules. The experimental results show that assessment model is
efficient and gave a certain improvement to the Bi Data reliability process.
Author: Yingsheng Chen, Dianne
Hall
Journal Code: jptkomputergg160066
