Advances, Systems and Applications
From: Dynamic resource provisioning for cyber-physical systems in cloud-fog-edge computing
Item | Key Points | Related Work |
---|---|---|
MEC | 1. MEC definition and functions | Â |
ES | 2. MEC in 5G | [76] |
 | 3. ES deployment criterion |  |
Nash Equilibrium | Â | Â |
Game theory | Noncooperative game | [77] |
NEA | Â | Â |
DSP | 1. NEA in IoT and CPS | Â |
 | 2. DSP benefits | [78] |
UAV | 1.Retromodulator-based optical communication | Â |
 | 2. Novel radio access network architecture | [79] |
IoT/CPS data processing pattern | 1.Social IoT | Â |
 | 2.Novel pattern based on the stream processing technology | [80] |
 | 3.In-memory data processing architecture |  |
Failure estimation method | 1. Realization of CPS edge computing with smart sensor | Â |
 | 2. The functions of smart sensor | [81] |
 | 3. Benefits of edge computing |  |
CEC | 1.A Cloud-Edge Computing Framework for CPS | Â |
ELEs | 2. Tensor-based services model | |
IRM | 1.An intermediate representation model | Â |
 | 2.Home health care application | [84] |
DDPG | 1.A hybrid data offloading scheme | Â |
DQN | 2.The policy-based DRL approach | [85] |
Deep reinforcement learning | Â | Â |
FPGA | 1.FPGA benefits | Â |
ARTICo | 2.ARTICo benefits | [86] |