search query: @instructor Tarkoma, Sasu / total: 26
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Author: | Xiao, Xi |
Title: | User driven message filtering with publish/subscribe |
Publication type: | Master's thesis |
Publication year: | 2008 |
Pages: | (10) + 48 s. + liitt. 5 s. Language: eng |
Department/School: | Tietotekniikan laitos |
Main subject: | Tietokoneverkot (T-110) |
Supervisor: | Tarkoma, Sasu |
Instructor: | Tarkoma, Sasu |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark Aalto | Archive |
Keywords: | user-driven message filtering publish and subscribe visualization filtering module |
Abstract (eng): | Message filtering is an important component of modern messaging systems, such as Java Message Service based applications. The purpose of a message filter is to route messages to correct recipients based on the predefined rules, and optionally order the received messages. For end users, message filtering can effectively reduce the time for extracting useful messages, therefore facilitating their daily work. In order to cope with the huge number of messages in this information age, many message filtering tools have been deployed in the past, for example, Microsoft Exchange Intelligent Message Filter and Apache Camel. Publish/subscribe (pub/sub) messaging systems apply an event driven model where message producers associate messages with a specific topic, and the messaging server routes messages to consumers according to the topics they have subscribed to. This thesis presents a design for user-driven message filtering in publish/subscribe systems. The focus is on visualizing the filtering rules in a user-driven manner. Subsequently, these rules are applied in both desktop computers and embedded devices. The main contribution of the thesis is the design of a Graphic User Interface (GUI), which intuitively presents the filtering rules to end users. Furthermore, we implement a prototype filtering system based on the design, and it achieves good performance in the desktop environment. We also carry out a user test to validate the usability of the prototype. The result shows that it is generally intuitive and easy to learn, despite some flaws in the current implementation. Finally, we suggest how to improve the system according to the feedback obtained from the test. |
ED: | 2009-01-21 |
INSSI record number: 36668
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