Advances, Systems and Applications
Table 1 Symbol system
From: An edge server deployment method based on optimal benefit and genetic algorithm
Symbol | Implication |
|---|---|
G | Mobile Service Computing network |
V | The node of Mobile Service Computing |
E | Connection during base station and edge server of Mobile Service Computing network |
B | The set of mobile correspondence base station |
n | Quantity of mobile communication base station |
S | Set of edge server |
K | Quantity of edge server |
\(E_s\) | Set of base stations responsible for every edge server |
\(t_b\) | The workload of base station b, where \(b\in B\) |
\(t_s\) | The workload successfully assigned to edge server |
\(t_c\) | Edge servers deploy additional fixed load |
\(T_s\) | The workload of the edge server s, where \(s\in S\) |
\(T_s^{opt}\) | Optimal number of cost-effective deployments of edge servers |
\(\rho\) | The optimal benefits of edge servers |
\(l_b\) | Situation of base station b |
\(l_s\) | Situation of edge server s |
d | Communication delay among edge server and basestation |
\(K_s\) | Optimal deployment amount of edge servers |
p | Probability of a base station choosing an edge server |
\(P_s\) | Probability of successful allocation of all base stations |