The Study of Fog Computing: Security and Privacy, Energy Consumption, Quality of Experience/Services, Offloading, and Task Scheduling

The advent of technologies has made the Internet of Things (IoT) becoming part and parcel of our lives and environment. We have seen many everyday objects such as smartphones, house appliances and sensors being connected to the Internet to exchange, store, process and collect data from the surroundings. We are also expecting a drastic growth in the number of connected devices as it could bring a lot of benefits to the humans in their daily lives. In fact, the IoT technology is becoming very essential in supporting the delivery of real-time data to enable electronic services. However, the increasing number of IoT devices has caused the application services to be hosted unsuccessfully in many cases due to certain limitations. The conventional cloud computing paradigm is also becoming ineffective in confronting some issues, including high latency, bandwidth limitation, and resource limitation due to the large amount of data being generated from the devices. Due to that, the Fog Computing paradigm has been introduced to overcome those problems. Recently, the fog computing paradigm has been explored from various aspects like security and privacy, energy consumption, Quality of Experience/Service (QoE/S) and offloading. In this paper, we will be gathering comprehensive information about fog computing from different sources and inspecting it from different aspects. Furthermore, this paper will also cover the application of fog computing technology in various industries or fields. As fog computing is still a fresh topic, more work is needed to be done in addressing the problems in energy consumption, offloading, and QoE/S.