# A Survey from Real-Time to Near Real-Time Applications in Fog Computing Environments
## 3 Classification of Articles
### Fast Response
[83]'s article proposes a fog-to-cloud data management architecture for smart cities with the data preservation block approach. The proposed architecture utilizes the benefits offered by fog and cloud computing technologies, and provides real-time data access through the data preservation model, faster than in a centralized architecture. [PERSON] and [PERSON] [84] propose a framework for collaborative edge-cloud processing to handle live data analysis on wireless IoT networks. The purpose of the proposed framework is to utilize cloud storage and computing capacity and to process delay-sensitive edge computing tasks to ensure real-time processing and feedback. [PERSON] et al. [85] propose an IoT service architecture and gateway system implementation. The purpose of the proposal is to allow the system to run on smart devices (smartphones, tablets) that support access to Bluetooth Low Energy (BLE) compatible with sensors and allow real-time sensor registration through a simple scheme of data usage. [PERSON] et al. [86]'s research paper proposes a safe and private VANET navigation scheme based on fog computing. The proposed system uses the crowdsourcing approach to collect real-time traffic data and analyze it to provide navigation services to vehicle drivers. The purpose of the proposal is to calculate the best destination route according to the vehicle location. [PERSON] et al. [87] propose a computational offloading-based algorithm for real-time traffic management for IoV and fog computing systems. The goal of the proposal is to minimize the average response time of events reported by vehicles. [PERSON] et al. [88] propose a hierarchical architecture, called multi-cloud to multi-fog, based on the container concept. The purpose of using a container as a resource unit is to reduce the response time of requests. In addition, an energy balancing based task scheduling algorithm is proposed to improve the life of Wireless Sensor Networks (WSN) without increasing the task delay. [PERSON] et al. [89] propose a three-tier model, based on the concept of vehicular fog computing, to manage city-wide traffic in a distributed manner. In addition, a real-time traffic management scheme is proposed. The purpose of the proposal is to minimize the response delay for the traffic management system by balancing the load between cloud and fog nodes. [PERSON] and [PERSON] [90] propose a secure notification scheme based on the concept of fog computing to provide real-time response. The combination of IoV and IoT devices such as eye movement tracking devices and heart rate sensors is also proposed to detect driver fitness and distraction in advance. [PERSON] et al. [79] propose a health monitoring system that provides continuous remote ECG monitoring along with automatic analysis and notification. The system consists of energy-efficient sensor nodes and a fog layer. In addition, the system can represent the collected data in useful ways, perform automated decision-making, and provide advanced services such as real-time notifications for immediate attention. Finally, [PERSON] et al. [91]'s article proposes a real-time QoE prediction scheme based on the concept of fog computing. The purpose of the proposal is to observe bidirectional video traffic and predict the QoE of the video stream supported by Dynamic Adaptive Streaming over HTTP (DASH).