Algorithms for clustering data
Algorithms for clustering data
Introduction to a system for distributed databases (SDD-1)
ACM Transactions on Database Systems (TODS)
Computer Evaluation of Indexing and Text Processing
Journal of the ACM (JACM)
Virtual Community: Homesteading on the Electronic Frontier
Virtual Community: Homesteading on the Electronic Frontier
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Towards Knowledge-Sharing and Learning in Virtual Professional Communities
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 8 - Volume 8
Distributed Database Management Systems and the Data Grid
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
A new suffix tree similarity measure for document clustering
Proceedings of the 16th international conference on World Wide Web
| Hi-index | 0.00 |
We propose a novel data distribution framework for developing a large Web-based course forum system. In the distributed architectural design, each forum server is full equipped with ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore the workload of the course forums can be shared by a group of the servers. With the secure group communication protocol and fault tolerance design, the new distribution framework provides a robust and high performance distributed architecture for the large course forum system. The forum servers can be settled in anywhere as long as a broadband network connection to Internet is provided. Our experimental performance testing results show that the large forum system is a high performance distributed system with low network overhead cost. In addition, a semantics based clustering algorithm is developed to classify the courses by the content relevance of their teaching material. Relevant course forums can be arranged on the same forum server together. Hence our distribution framework also provides a knowledge-based taxonomic storage solution to build a large course teaching material digital library.