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Advances, Systems and Applications

Table 2 Simulation parameters

From: Collaborative on-demand dynamic deployment via deep reinforcement learning for IoV service in multi edge clouds

Parameters

Value

Data size of service, d(k)

[2, 8]GB

Computing capacity for executing service, m(k)

[1, 5]gigacyles

Storage capacity of edge cloud, D(i)

[10, 30]GB

Computing capacity of edge cloud, M(i)

[5, 10]GHz

Network transmission rate between multi edge clouds, \(v_{e2e}\)

100Mbps

Network transmission rate between vehicles and edge clouds, \(v_{v2e}\)

100Mbps

Initial value of greedy strategy parameter, \(\varepsilon\)

0.9

Decrement value of \(\varepsilon\)

0.0005

Number of nodes in hidden layer

128

Size of experience pool

3000

Batch size

64