April - June 2007 - Kasetsart University
April - June 2007 - Kasetsart University
April - June 2007 - Kasetsart University
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404<br />
Effciency<br />
1.2<br />
1<br />
0.8<br />
0.6<br />
0.4<br />
such as input data transfer time makes the speed<br />
up and efficiency dropped. In this test, we reduced<br />
the data transfer time by replicating VaR database<br />
to all workers. So, the efficiency and speed up were<br />
nearly perfect.<br />
3. The super speed up and the over<br />
efficiency. This characteristic happened because<br />
the overhead time before calling web services of<br />
client application makes the run time of client<br />
application increased. The high number of jobs<br />
made the total overhead time grower. However,<br />
the total overhead time was reduced by the<br />
increasing of number of workers. So, at the large<br />
amount of jobs such as 2000 and 3000 jobs, the<br />
run times of 2, 4, 8, 16, and 32 workers system<br />
were decreased more than the number of workers<br />
in system.<br />
CONCLUSION<br />
The demand of using super computing<br />
system in organizations has been increasing. They<br />
<strong>Kasetsart</strong> J. (Nat. Sci.) 41(2)<br />
Effciency<br />
0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34<br />
Figure 10 The efficiency plot.<br />
Number of workers<br />
100 Jobs<br />
500 Jobs<br />
1000 Jobs<br />
2000 Jobs<br />
3000 Jobs<br />
need the system that has more dynamicity and<br />
flexibility in order to support the various types and<br />
large amount of demand of customers. Moreover,<br />
this system must provide an easy and familiar<br />
mechanism for customers to use the power of<br />
system. This paper proposed the design and<br />
implementation of framework used for building<br />
the computing environment that can achieve these<br />
requirements. This framework is called OpenUCI<br />
(Open Utility Computing Infrastructure) which<br />
works on Microsoft .NET platform. OpenUCI will<br />
gather resources distributed on the network, and<br />
automatically adjust and provisioning resources<br />
to users. The prototype of OpenUCI has already<br />
been implemented and evaluated with a financial<br />
engineering application named VaR calculation.<br />
The result of evaluation showed that OpenUCI can<br />
give a good performance and high utilization when<br />
the number of computers and demand of users<br />
increased<br />
The prototype version of OpenUCI has<br />
only a few modules such as resource collecting