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
Artikel Terkait :
Jp Teknik Komputer gg 2016
- An Improved Artificial Bee Colony Algorithm for Staged Search
- Multi-Criteria in Discriminant Analysis to Find the Dominant Features
- A Novel Multifunction Digital Chip Design Based on CMOS Technology
- An Improved Adaptive Niche Differential Evolution Algorithm
- Power Quality Analysis of Integration Photovoltaic Generator to Three Phase Grid under Variable Solar Irradiance Level
- A Combined User-order and Chunk-order Algorithm to Minimize the Average BER for Chunk Allocation in SCFDMA Systems
- An Optimized Model for MapReduce Based on Hadoop
- Hierarchical i* Modeling in Requirement Engineering
- The Optimal High Performance Computing Infrastructure for Solving High Complexity Problem
- Transformer Fault Diagnosis Method Based on Dynamic Weighted Combination Model
- Hybrid Hierarchical Collision Detection Based on Data Reuse
- Brightness and Contrast Modification in Ultrasonography Images Using Edge Detection Results
- Recognition of Fission Signals Based on Wavelet Analysis and Neural Network
- Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring
- Chaos-Enhanced Cuckoo Search for Economic Dispatch with Valve Point Effects
- GPU CUDA Accelerated Image Inpainting using Fourth Order PDE Equation
- Comparative Analysis of Spatial Decision Tree Algorithms for Burned Area of Peatland in Rokan Hilir Riau
- Action Recognition of Human’s Lower Limbs Based on a Human Joint
- A Soft Error Study on Tri-gate Based FinFET and Junctionless-FinFET 6T SRAM Cell - A Comparison
- Design of AC Charging Interface and Status Acquisition Circuit for Electric Vehicles
- Towards Smooth and High-Quality Bitrate Adaptation for HTTP Adaptive Streaming
- Features Deletion on Multiple Objects Recognition
- Research on Batch Scheduling in Cloud Computing
- Classification of Motorcyclists not Wear Helmet on Digital Image with Backpropagation Neural Network
- Internet Protocol Based Satellite On-Board System