SEKE 2012 Proceedings - Knowledge Systems Institute

Users can al so publish adv ertisements from the
devices directly. The vendor’s name will be connected
to its phone number, and the user can change it before
submission. Users have the option to choose
publishing free advertisements or paid advertisements.
d) Mad
It displays retrieved mobile advertisements and
incoming SMS. User s can switch between SMS and
advertisements. MAD will be triggered while
- Users are clicking the advertisement in Top list or
My list
- SMS messages are arrived
- Advertisements are retrieved
Besides the activ ity we demonstrated, the client
also implements a service called Ads in Device. This
service can be st arted manually by users or
automatically when the application starts or the device
reboots. After Ad received mobile advertisements
from server, it w ill relay this advertisement to MAD
activity. If more than 10 seconds have passed, it relays
the advertisement immediately; otherwise, it w aits
until the user finishes reading SMS in 15 seconds.
Client uses Connector and RestAgent to communicate
with server. The Restful action is perform ed by that
class.
B. Middle-Tier Implementation
To get the hidden meaning of the context, Mid-Tier
application implements POS tagger technology. It tags
the context and retrieves meaning words.
Based on the frequency and posi tion of the
meaningful words, server start queries to Mong o
database. The results might include more than one
responses. In that case, the top one w ill be decide by
pay per click value defined by advertisement provider.
Server uses MongoMapper as Object-relational
mapping to communicate with data-tier.
C. Data-Tier Implementation
Data-Tier is implemented by Mongo database,
which is a document based, schema-free, scalable and
high performance database.
A document-based data model can hold rich dat a
structure from simple JSON to complex array, so the
administrator does not need to hold the complex
content within multiple relation tables.
The advantage of this schema makes it easy for the
administrator to dum p multiple formats of the
advertisements into the sy stem. Also it can keep the
data backward compatible.
As the database will be expanded when the system
gains more and m ore users and adv ertisements,
predictable scalability is important to the system.
Performance is al so a concern w hen choosing the
database. The high performance brought by Mongo
DB meets the performance requirements of the system.
V. EXPERIMENTAL RESULTS
A. Experimental Setup
To measure the perform ance of the system, we
designed a test to check system capability of handling
different contents. The test setup includes a computer
running MAD server and Mongo DB and an Android
device running MAD client. The computer is a 2.53
GHz dual core m achine with 3GB memory. The
Android device is equipped with a 1GHz CPU and 512
MB memory.
B. Performance Results
In the experiments, we compared the elapsed tim es
while MAD system handles different sizes of SMS. A
SMS will be sent to the device, which has installed the
MAD client. The client will send request to the server.
On server side, it analy zes the incoming request and
responds with the correct adv ertisement based on the
contents. The elapsed times are monitored and
captured to measure the efficiency of the sy stem. DB
elapsed time presents the duration that it tak es for
server to render the adv ertisement after querying
database. E2E tim e represents the durat ion between
device sending request and recei ving response. Also
we record the returned vendor for such SMS test
campaign to v erify the quality of returned
advertisement
TABLE I.
TEST MATRIX
Content Words Vendor E2E Time
(ms)
Lunch 5 One local 1273
restaurant
Let us watch movie 25 AMC 1570
tonight
Would you please 53 Amazon 1794
bring the book to
me? I am in library.
The recipe of 104 Safeway 1912
pumpkin pie: 2
spoon of salt, 3
pound of pumpkin,
1 pint of sugar.
blend them and
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