# Converging Telco-Grade Solutions 5G and beyond to Support Production in Industry 4.0
## 4 5G Functions and Features to Support the Information Flow within Industry 4.0
### Cloud-Based Big Data Analysis  
In Industry 4.0, cloud-based big data analysis is a significant weapon that responsible for the detailed security and business statistics that enhance business organizations' ability to make choices. It examines the knowledge according to the needs of the involved programs, applications and technology. 5G is a leader in promoting low latency and high \begin{table}
\begin{tabular}{l l l l l l} \hline \hline \multirow{2}{*}{**MES Type**} & \multirow{2}{*}{\begin{tabular}{c} **Latency** \\ **(MS)** \\ \end{tabular} } & \multirow{2}{*}{**Reliability**} & \multirow{2}{*}{\
\begin{tabular}{c} **Availability** \\ (\%) \\ \end{tabular} } & \multirow{2}{*}{
\begin{tabular}{c} **Device** \\ **Density** \\ \end{tabular} } & \multirow{2}{*}{**Ref.**} \\ \hline Data & \multirow{2}{*}{50} & \multirow{2}{*}{\(10^{-3}\)} & \multirow{2}{*}{99.99} & \multirow{2}{*}{10,000/plant} & \multirow{2}{*}{[74, 75, 76]} \\ acquisition & & & & & \\ \hline Data & \multirow{2}{*}{50} & \multirow{2}{*}{\(10^{-5}\)} & \multirow{2}{*}{99,999} & \multirow{2}{*}{1000/km\({}^{2}\)} & \multirow{2}{*}{[77, 78, 79]} \\ exchange & & & & & & \\ \hline Decision & \multirow{2}{*}{\(1\)} & \multirow{2}{*}{\(10^{-9}\)} & \multirow{2}{*}{\(>\)99.9999} & \multirow{2}{*}{5–10/m\({}^{2}\)} & \multirow{2}{*}{[71, 72, 73]} \\ support & & & & & & \\ \hline Visualization & \multirow{2}{*}{10–100} & \multirow{2}{*}{\(10^{-9}\)} & \multirow{2}{*}{\(>\)99.9999} & \multirow{2}{*}{6–8/m\({}^{2}\)} & \multirow{2}{*}{[80, 81]} \\ \hline App & \multirow{2}{*}{200–5000} & \multirow{2}{*}{\(10^{-2}\)} & \multirow{2}{*}{95.0} & \multirow{2}{*}{4000/km\({}^{2}\)} & \multirow{2}{*}{[82]} \\ interfaces & & & & & \\ \hline Production & \multirow{2}{*}{5} & \multirow{2}{*}{\(10^{-9}\)} & \multirow{2}{*}{\(>\)99.9999} & \multirow{2}{*}{6–8/m\({}^{2}\)} & \multirow{2}{*}{[83, 84, 85]} \\ \cline{1-1} Logistics & & & & & & \\ \hline Enterprise & \multirow{2}{*}{2} & \multirow{2}{*}{\(10^{-9}\)} & \multirow{2}{*}{\(>\)99.9999} & \multirow{2}{*}{5–10/m\({}^{2}\)} & \multirow{2}{*}{[87, 88]} \\ \cline{1-1} Operational & & & & & \\ \hline Configuration & \multirow{2}{*}{1} & \multirow{2}{*}{\(10^{-9}\)} & \multirow{2}{*}{\(>\)99.9999} & \multirow{2}{*}{5–10/m\({}^{2}\)} & \multirow{2}{*}{[91, 92]} \\ \cline{1-1} Integration & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Requirements for manufacturing and execution systems. throughput specifications for highly immersive applications [95]. The main requirements for the efficient implementation and operation of cloud-based big data analysis in 5G [96] are local processing, availability, high data-rate, and real-time interaction. The influence 5G technology in the cloud-based big data analysis is shown in Table 4.  
In order to utilize the benefits of 5G, there are many proposed solutions for different service types and computing technologies (hybrid, edge, and fog). Separate modulation schemes [108], including 64 quadrature amplitude modulation (QAM), 16 QAM, phase shift keying (PSK) and quadrature phase shift keying (QPSK), are used to compare energy efficiency between cloud computing and fog computing in 5G to suggest an energy-efficient model to increase average user throughput and energy consumption. The paper [107] offers a cross-layer resource management mechanism between optical network and fog computing over fiber networks to implement delay specifications for edge servers. An architecture that enables edge servers to provide with caching, computing, and communication capabilities are proposed in [109] to enable content and service providers to deploy closed features, facilities, and content of their mobile equipment. A fiber, wireless (FiWi) connectivity architecture was implemented in [101] to enhance MEC services. A virtualized multi-access edge computing architecture is proposed in [100] to maximize the usable bandwidth and to intelligently reduce end-to-end delays on IoT.