TY - GEN
T1 - Multi-agent based hybrid system for dynamic web-content adaptation
AU - Cho, Jaewoo
AU - Lee, Seunghwa
AU - Lee, Eunseok
PY - 2006
Y1 - 2006
N2 - Context-aware adaptation service is rapidly becoming an important issue. This service overcomes the limitations of wireless devices and maintains adequate service levels in changing environments. The majority of existing studies concentrate on adaptation modules on the client, proxy, or server. These existing studies thus suffer from the problem of having the workload concentrated on a single system. This means that increasing the number of users increases the response time of a user's request. In this paper, the adaptation module is dispersed and arranged over the client, proxy, and server. The module monitors the context of each system and creates a dispersed adaptation system, optimized for efficient operation. Through this method, faster adaptation work is made possible, even when the number of users increases, and the dividing workload makes more stable system operation possible. In order to evaluate the proposed system, a prototype is constructed and dispersed operations are tested using multimedia content, simulating server overload and comparing the response times and system stability with existing server based adaptation systems. The effectiveness of the system is confirmed through the results.
AB - Context-aware adaptation service is rapidly becoming an important issue. This service overcomes the limitations of wireless devices and maintains adequate service levels in changing environments. The majority of existing studies concentrate on adaptation modules on the client, proxy, or server. These existing studies thus suffer from the problem of having the workload concentrated on a single system. This means that increasing the number of users increases the response time of a user's request. In this paper, the adaptation module is dispersed and arranged over the client, proxy, and server. The module monitors the context of each system and creates a dispersed adaptation system, optimized for efficient operation. Through this method, faster adaptation work is made possible, even when the number of users increases, and the dividing workload makes more stable system operation possible. In order to evaluate the proposed system, a prototype is constructed and dispersed operations are tested using multimedia content, simulating server overload and comparing the response times and system stability with existing server based adaptation systems. The effectiveness of the system is confirmed through the results.
UR - https://www.scopus.com/pages/publications/33750548621
U2 - 10.1007/11875581_144
DO - 10.1007/11875581_144
M3 - Conference contribution
AN - SCOPUS:33750548621
SN - 3540454853
SN - 9783540454854
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1215
EP - 1222
BT - Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
PB - Springer Verlag
T2 - 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
Y2 - 20 September 2006 through 23 September 2006
ER -