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Advances, Systems and Applications

Journal of Cloud Computing Cover Image

Table 4 Input parameters to configure the simulation environment and their relative values

From: A real-world inspired multi-strategy based negotiating system for cloud service market

Possible values Input parameters
CRPA_favorable Balanced CRBA_favorable Cloud Service Market Type: CSMT
- [12, 23] (CRBA_to_CRPA ratio)
{10:1,5:1,3:1} {1:1} {1:3.1:5.1:10}
3 Number of Physical Resource Type: R
i.e., CPU, Memory, Storage))
3 Number Of VM Types
Small (m = 1) Medium (m = 2) Large (m = 3) Physical resource Characteristics of the VM Types: VMm
Where m{1,2,3}- [38]
w11 = 1 w21 = 2 w31 = 4 CPU
w12 = 1.7 w22 = 3.75 w32 = 7.5 Memory (GB)
w13 = 160 w23 = 410 w33 = 850 Storage (GB)
[0,20] Number of Requested VM Type m Instances by i’th Customer: no. Ireqmi
200 Number Of Maximum Available Instances Of Each VM Type:I
Resource provider [66 + α,80 + 80α] Resource customer [1 + α,15 + 15α] Initial Price: IP
(Randomly generate)- Inspired from [12, 23]
α=0 for VM1,1 for VM2 and 2 for VM3
Resource provider [1 + α,15 + 15α] Resource customer [66 + α,80 + 80α] Reserve Price: RP
(Randomly generate)- Inspired from [12, 23]
α=0 for VM1,1 for VM2 and 2 for VM3
Long Moderate Short Negotiation Deadline
- Randomly generate (no. of rounds)
[12, 23]
50–100 40–50 20–40
Conservative Linear Conciliatory Time Dependent Strategy [12, 23]: λ
3 1 1/3
Sparse Moderate Dense Market Density [12]
Pgen = 0.25 Pgen = 0.5 Pgen = 1
Pgen: Probability of generating an agent per round
Low Moderate High Probability of Generating an Opponent with Mutual_Behavior_Class in Name NLNH
Pmbc = 0.25 Pmbc = 0.5 Pmbc = 1
Pmbc: Probability of generating an opponent agent with NLNH mutual_behavior_class