HunterPlus: AI based energy-efficient task scheduling for cloud–fog computing environments

Edge AI: A survey

“…The mobile devices directly connected to the recovery MEC server act as relay nodes and communicate with the disconnected mobile users. As the number of relay devices increases as their rate of data transfer increases, data throughput and the number of disconnected mobile users capable of being serviced increase greater the number of relay devices per disconnected user, the faster the recovery system works [16]. The authors point out, however, that the time taken for the recovery MEC server to calculate the data allocation to be used in the recovery network increases greatly as the number of relay devices and disconnected users increases [138].…”

“…Previously, when the Internet user frequently web surfed to see favourite content, to fulfil the user's request, the Internet provider used historical information in their database, but increasingly Internet service providers can provide users' favourite content via geographical locations or analysed information from the application [86]. With Edge Computing, content providers can host services at the edge of the network with accurate user location within a radio access network [16]. This can improve the QoE for mobile users [5].…”

“…In contrast to other edge computing models, mDCs form more of a hardware solution for Edge Computing than a novel IT scenario [16]. As such, mDCs are compatible with FC, MEC and cloudlets but are highly suitable for a completely different market sector, IIoT [138].…”

“…For example, in smart parking scenarios where data is coming from sensors and transferred to edge devices efficiently and reliably [66]. Central to resource management are dynamic load balancing [166] and developing resource allocation platforms [16]. On-demand resources, variable workloads and integrating data streams from a number of heterogeneous devices across a geographical area are important considerations and but trade-offs between computing power and speed of communication may be inevitable [167].…”

“…the provision of computing power in a delocalized manner close to mobile users (smartphones, tablets, etc. ), aiming to decrease latency, achieve as high throughput as possible and provide direct access to real-time network information [16]. The renaming of MEC as Multi-access Edge Computing reflects aims for applications development in 2017 for non-mobile devices; this is a crucial change of direction and its full implications will be discussed later in this survey.…”