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420
0.002
M-first(M=2)
M-first(M=3)
M-first with spot-checkin g (M=2)
M-first with spot-checking(M=3)
Credibility-based voting ( random)
Credibility-based voting(rr1)
ε acc
M - f i r s t ( M = 2 )
M-first(M=3)
M-first with spot-checking(M=2)
M-first with spot-checking(M=3)
Credibility-based voting(random)
Credibility-based voting(rr1)
400
380
0.0015
360
340
320
0.001
300
280
260
0.0005
240
220
0
200
0
0.2
0.4
0.6
0.8
1
0
0.2
0.4
0.6
0.8
1
c
c
(a) Error-rate
(b) Computation time T
Figure 18. M -first voting with spot-checking vs. Credibility-based voting for colluding
rate c ( acc =0.001 , s =0.1 , f =0.35 , q =0.1 , p d =0 , random scheduling without
blacklisting).
M degrades the performance of VC systems. For example, the computation time of 3 -first
voting is around 320, while that of credibility-based voting ranges from 280 to 295.
4500
0.004
M-fir s t(M=2)
M-first(M=3)
M-first with spot-checking(M=2)
M-first with spot-checking(M=3)
Credibility-based voting(random)
Credibility-based voting(rr1)
ε acc
M-first(M=2)
M-first(M=3)
M-first with spot-checking(M=2)
M-first with spot-checking(M=3)
Credibility-based voting(random)
Credibility-based voting(rr1)
4000
0.0035
3500
0.003
3000
0.0025
2500
0.002
2000
0.0015
1500
0.001
1000
0.0005
500
0
0
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8
pd
pd
(a) Error-rate
(b) Computation time T
Figure 19. M -first voting with spot-checking vs. Credibility-based voting for defection
rate p d ( acc =0.001 , s =0.1 , f =0.35 , q =0.1 , c =1.0 , P up (steady)=0.8 , random
scheduling with blacklisting)
Defection rate p d Fig.19 and Fig.20 show error rate and computation time of each method
for defection rate p d at P up (steady)=0.8 . This figure shows error rates of all methods stay
constant, while computation times increase with p d . As shown in eq.(16), the computation
time is proportional to 1/(1−p d ) . Thus, the actual values of computation times in real VCs
become larger than those in the basic model ( p d =0 ), since workers in real VCs frequently
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