Advances, Systems and Applications
From: An improved ACO based service composition algorithm in multi-cloud networks
Notation | Description |
---|---|
N | the number of edge clouds |
M | the number of users |
L | the set of service composition |
\(\eta _{i,j}\) | the \(j^{th}\) QoS parameter corresponding to \(i^{th}\) service component |
\(R_l\) | the resource requirements required by service l |
\(C_i\) | the total resources in edge cloud i |
S | the set of service components |
\(\eta _T\) | Throughput parameter |
\(\eta _{Lo}\) | Latency parameter |
Sta | the stability of the service composition solution |
Fit | the fitness of the service composition solution |
\(P_{ij}^k(t)\) | the evaporation probability |
\(\tau _{ij}\) | the heuristic information value on path (i, j) |
\(\tau _0\) | the initial pheromone value |
\(\rho\) | the evaporation rate |