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Table 2 The experimental settings for the evaluation of DIAS

From: A generic and adaptive aggregation service for large-scale decentralized networks

 

Parameter

Value

 

n

1500

 

t(DIAS)

800

Protopeer

T(DIAS)

1000

 

t′(DIAS)

6

 

|v(r i n g)|

5

 

t′(a p p l i c a t i o n)

15

 

v

5

 

type of states

numerical

 

input domain of states

[0,1)

 

generation of possible states

beta distribution

 

distribution for s i 0

alpha=5, beta=25

Application

distribution for s i 1

alpha=25, beta=5

 

distribution for s i 2

alpha=10, beta=5

 

distribution for s i 3

alpha=5, beta=10

 

distribution for s i 4

alpha=5, beta=5

 

selection of a possible state

cyclical

 

T(a p p l i c a t i o n)

10 (asynchronous), 200 (synchronous)

 

P c (t i m e), P c (p a r a m e t e r)

(1.0, 1.0), (0.4, 0.7)

Top Level

T(t o p)

1000

 

f()

average, summation, maximum

 

T(m i d d l e)

1000

 

z

10

 

q

45

Middle Level

e

15

 

adaptation strategy adoption

static

 

hashing scheme

double hashing

 

m, k

(16, 24), (14, 24), (14, 6)

 

r

50

 

T(b o t t o m)

250

Bottom Level

view selection policy

swapper

 

view propagation policy

push-pull

 

peer selection

policy random

  1. The bold values are the default ones in the performed experiments.