Mobile Agents For Personalized Information Retrieval: When are they a good idea? Telcordia Technologies Proprietary – Internal Use Only This document contains.

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Presentation transcript:

Mobile Agents For Personalized Information Retrieval: When are they a good idea? Telcordia Technologies Proprietary – Internal Use Only This document contains proprietary information that shall be distributed, routed or made available only within Telcordia Technologies, except with written permission of Telcordia Technologies. Ravi Jain and Farooq Anjum Telcordia Contact: Farooq Anjum An SAIC Company

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Plan  Contributions  Mobile Agents  Performance Model  Performance Evaluation  Summary  Future Work

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Contributions  A preliminary analytical model for comparing performance benefits of using mobile agents over client server computing

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Client Server vs Mobile Agent

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Mobile Agents  Mobile Agent –Self contained piece of software that can migrate and execute on different machines in a dynamic networked environment  Justifications for using Mobile Agents –Performance benefits  reduction in network bandwidth consumption  reduced latency  reduced computation  increased fault tolerance –Software Engineering  conceptualize solutions better  improve code modularity and reusability

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Performance Model  A stationary user with a wireless last hop  Information gathering  Desire to consider the latency –with client server paradigm –with mobile agents  N servers to be searched for information  packets lost over wireless link with prob p  size of client query message is unity  size of agent is then M  parameter R to model information filtering by agents  At each site information found with probability p i and time to process query denoted t i

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. System model for wireless information retrieval Can characterize the average information latency under the two paradigms

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Model Evaluation Scenarios  ALL –all N predetermined server sites are searched  SURE DECREASING –servers searched in decreasing order of success probability  SURE RANDOM –servers searched in random order  MAYBE-LARGE –information need not exist on servers searched – p i <1  MAYBE-SMALL –information need not exist on servers searched – p i <0.1

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Visiting all servers without agent filtering Agents advantageous for small agent size without filtering

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Visiting all servers with agent filtering

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Visiting servers in sequential order With sequential search and no filtering advantage of mobile agents is lost

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Visiting servers in sequential order with filtering

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Visiting servers in random order If sites to be searched in random order then MA to be preferred

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Maybe Large Scenario A scenario that is not favorable to MA

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Maybe Small Scenario A scenario that is favorable to MA

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Summary  Developed a simple analytical model to quantify performance benefits of using mobile agent technology over client server techniques  Evaluated the model for different scenarios –Expected latency being the metric

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Future Work  Multiple Mobile Users  A detailed study –Queuing theoretic approach  Considering agent activation/inactivation

Farooq Anjum WCNC 2000 Sept Telcordia Technologies Proprietary - Internal use only. See proprietary restrictions on title page. Any questions