22.01.2015 Views

Military Communications and Information Technology: A Trusted ...

Military Communications and Information Technology: A Trusted ...

Military Communications and Information Technology: A Trusted ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

250 <strong>Military</strong> <strong>Communications</strong> <strong>and</strong> <strong>Information</strong> <strong>Technology</strong>...<br />

C. Reasoning Module response<br />

The response from the RM provides the following information about the reported<br />

event (see Fig. 9):<br />

• classes that an individual belongs to ( <strong>and</strong> ),<br />

• threats which are results of reported event (),<br />

• public safety services, which should be informed about the reported accident<br />

(.<br />

VI. Results of testing the Reasoning Module<br />

It is well-known that reasoning on an ontology is time consuming. Long execution<br />

time for programs based on ontologies result from the time necessary for<br />

classification of the concepts in the ontology, checking the consistency of ontology,<br />

inferring knowledge <strong>and</strong> executing SWRL rules.<br />

In order to check efficiency of the RM <strong>and</strong> possibility to apply it for a number<br />

of users in the INSIGMA project there have been carried out performance tests<br />

in SOAP UI. We analyzed how a number of SOAP requests affect the reasoning<br />

module response time. The results of test are depicted in the table below. It is visible<br />

that the invocation time depends on a number of subsequent requests.<br />

Table I<br />

Number of requests Min time [s] Max time [s] Avg time [s]<br />

1 7,4 10,4 8,3<br />

2 9,1 11,2 10,6<br />

5 17,2 37,6 24,7<br />

10 20,7 52,8 37,1<br />

20 22 69,1 39,5<br />

hardware: Intel(R)Core(TM)i7 CPU 2.67 GHz; 8 GB RAM; Windows 7 64-bit;<br />

Java version 1.7.1_01<br />

Average time for one request is above 8 s, but when we invoked service ten<br />

times at the same time, the response time increased to 39,5 s. Results of the analysis<br />

indicate that if we want to use run-time ontology in a large system like INSIGMA<br />

with many end-users, we have to use correspondingly high computational power<br />

systems or develop reasoning modules on the basis of more efficient reasoning<br />

frameworks.<br />

VII. Future work<br />

We are planning to apply the proof of concept of ENS as test deployment<br />

in the city of Legionowo. The remarks from users of the report <strong>and</strong> server modules

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!