Anomaly Detection Based Latency-Aware Energy Consumption Optimization For IoT Data-Flow Services

. 2019 Dec 24;20(1):122. doi: 10.3390/s20010122

Algorithm 2 Best-effort Algorithm

Input:
$λ_{i}, μ_{j}, μ_{m}, τ_{1}, τ_{2}, τ_{3}, H_{i}, B, σ, p r_{j}, p r_{m}$ ;
Output:
$x, P$ ;
1:
for each i in I do
2:
for each j in J do
3:
allocate as many tasks of $u e_{i}$ as possible to $f n_{j}$ till reach its capacity
4:
end for
5:
calculate $P_{i}$ for each $u e_{i}$
6:
end for
7:
while the solution is infeasible do
8:
carry out the Best-effort strategy in fog level
9:
carry out the Best-effort strategy in MEC level
10:
if the solution is infeasible, decrease the $x_{i j}$ with largest $P_{i}$ unless $x_{i j}$ becomes 0
11:
end while
12:
return $x, P$