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is the sum of all storage durations, which is the life span of the data file. The derivation
of equation (4.2) is presented as follows:
Let event A j be disk D surviving from
t j 1 to t j , where j N , the probability
that disk D survives from t 0 to t n can be described as
PAAA
(
...
)
. According to
nn 1
1
the property of conditional probability, we have:
PAAAPA AAPA AA
PA AAPA AA
PA APA
(
...
)
=
(
|
... )(
...
)
nn
1
1
n
n
1
1
n
−−
1
n
2
1
⋅= =
... (|
... )( |
...
)...
n
n
1
1
n
1
n
2
1
(| )( )
2
1
1
where
j j 1 2 1 indicates the probability of disk D surviving (i.e., the re-
liability of disk D ) between
PA AA A
(|
...
)
−−
t j 1 and t j , given that D is alive at time
t j 1 . Because
replica r has the same reliability as disk D ,
PA AA AR
(|
...
)
=
where R tj is the
j
j
−−
1
j
2
1
tj
reliability of the data file stored from
t j 1 to t j . Therefore, we have
PAAARR R
(
...
)
=
...
nn
1
1 12
t
t
tn
According to equation (4.1) , we have
λ
(
tt
)
Re
tj
=
j
j
j 1
Let =−
Tt
t
j 1 , hence we have:
j
j
λ
T
λ
T
λ
T
PAAAee e
(
...
)
=
...
11 22
nn
nn
1
1
(
)
(
)
n
n
n
∑∑∑
⋅=
exp
λ
T
T
T
jj
j
j
j
=
1
j
=
1
j
=
1
Because
PAAART
(
...
)
=
(
)
, the above equation can be denoted as:
nn 1
1
RT e
()
=
λ
T
n
n
n
where ∑∑
, and
λ
=
λ
/
jj
T
T
T
=
T j
.
j
j
=
1
j
=
1
j
=
1
From equation (4.2) , it can be seen that the data reliability of one replica with a
variable disk failure rate also follows the exponential distribution, while the disk fail-
ure rate becomes the weighted mean of all the disk failure rates during the storage life
span. Therefore, equation (4.1) can be considered as a special case of equation (4.2)
when the disk failure rate is a constant.
4.2.3 Generic data reliability model for multi-replicas
In previous subsections we discussed the data reliability of storing one replica.
Based on the discussions above, the novel generic data reliability model with a
 
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