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Performance Evaluation

In this section, we evaluate the performance of the proposed game-based cloud resource allocation.

Simulation Setup

In the simulation, there is a media cloud to lease cloud resource to brokers. The total size of cloud resource is B = 100 k which denotes that the cloud can process 100 x 103 tasks per unit time. In addition, the MSN has two brokers and two communities. In each community, there are 20 users. The media cloud waits Tw,mc = 500 for the next strategy update and each broker waits Tw,b = 100 for the next generation strategy update. The speed of adjustment for each broker on the bought resource size and price are p = 0.1 and witE = 1, respectively. The speed of adjustment for media cloud on price of resource is wr = 0.01. The detailed values of parameters in this simulation are listed in Table 5.1.

Table 5.1 Simulation parameters

Parameter

Value

J: the number of communities

2

N1, N2: the number of users in community 1 and community 2

20,20

I: the number of cloud brokers in the network

2

B: the maximum of resource can be allocated by media cloud

100 k (tasks/s)

[at, j, [h, j}, j 6 {1, 2}: the parameters on QoE of users in community 1

[2, 10}

{a2, j, $2, j}, j 6 [1, 2}: the parameters on QoE of users in community 2

[1.5, 10}

[s, j, S2, j}: the payoff parameters of mobile users in community 1 and community 2

[2, 2}

Di: the reserved resource provided to brokers

0

g: the discount parameter

1

Tw,mc: the waiting time for strategy adjustment of media cloud

500

Tw,b: the waiting time for strategy adjustment of a broker

100

 
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