31
2
Vol.31, Sup.2
2011
10
Systems Engineering — Theory & Practice Oct., 2011
: 1000-6788(2011)S2-0075-06
: TP393
:A
,
(
,
530004)
,
!
!
"
"
#$
%&'
#$
(
%
)
&
,
*
'
+,
(
-.
%
/
)*+
0
.
,
-
)*+
0
-.
/0
,
123
1
4567
2
89
3
MapReduce
45
)*+
0
:
67!
,
8
)*+
0
9
;<
:
;
=>
?
<
,
=>
7Æ@A
2
8
?
@
'
,
-*
B)*
A
C
BC
D
E
D
F
2
GH
,
EF
I
GHI
-7!
J
J
KL
,
K)*+
0
L
M
MN3
NO
O
PQ
P
.
Q
RS1
4
TU
(R
V
,
ST
JU
.
7
2
8
; MapReduce;
WX
VW
;
;
I
GHIY
Netw ork software market share statistics and forecast model
based on cloud computing
ZHANG Xi-xiang, LI Tao-shen
(Sc hool of Computer, Electronics and Information, Guangxi Univ ersit y, Nanning 530004, China)
Abstract An appropriate market share model can be used to forecast the competitiveness in the market.
Most of the existing models and methods built on surveys and reports which are static historical data,
can not meet the need of the dynamic market. This paper proposed a method that can collect condi-
tions of network software’s application for this field, which is based on MapReduce programming model.
Considering the dynamic changeable network environment, the method made use of the Cloud Platform’s
computing power to compute the occupation condition of network software elastically and in time for dif-
ferent network segments. It also use Markov method to forecast based on collected data, so it can offer
essential policy-making of network software enterprises. Last, provides some simple applied cases of the
model, which have proved the model’s feasibility.
Keywords cloud computing; MapReduce; port scan; market share; Markov chains
1
Z[
,
,
.
20
,
[1]
,
[2]
[3]
[4]
.
,
[5]
,
[6−7]
,
[8]
,
,
!
,
"
#
$
$
.
%&
'
,
,
(
,
)
!
,
*
IT
+
.
,
,
Æ
Æ
"
!
,
-
.
#
"
,
#
$
$
$%
$
/
%
!
&'!
!
0
.
"
1
[9]
&
2
(
"
)
\
: 2011-07-01
]^_
:
#$
#
'
3
%&
(60963022);
'
$
#
'
3
%&
(
(
'
0991059);
'
$
*
3
+
)
,
4
%
-
*
&
+,
(L300249)
`a
!
:
5
'
Æ
(1986–),
(
,
()
6
)
*
,
6
)
.
7
:
8
+
+
, E-mail: xixixiang@yahoo.com.cn;
*
,-
,
(
,
-
.
,
/
)*
0
/
,
6
)
.
7
:
1
0
.
2
1
+,
3
2
-.
9
+
4
.
资源评论
