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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

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