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Full-Text Articles in Physical Sciences and Mathematics
Increasing Dogma Scaling Through Clustering, Nathan Hyrum Ekstrom
Increasing Dogma Scaling Through Clustering, Nathan Hyrum Ekstrom
Theses and Dissertations
DOGMA is a distributed computing architecture developed at Brigham Young University. It makes use of idle computers to provide additional computing resources to applications, similar to Seti@home. DOGMA's ability to scale to large numbers of computers is hindered by its strict client-server architecture. Recent research with DOGMA has shown that introducing localized peer-to-peer downloading abilities enhances DOGMA's performance while reducing the amount of network and server usage. This thesis proposes to further extend the peer-to-peer abilities of DOGMA to include peering client server communication by creating dynamic clusters of clients. The client clusters aggregate their communication with only one client …
Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera
Utilizing Phrase-Similarity Measures For Detecting And Clustering Informative Rss News Articles, Yiu-Kai D. Ng, Maria Soledad Pera
Faculty Publications
As the number of RSS news feeds continue to increase over the Internet, it becomes necessary to minimize the workload of the user who is otherwise required to scan through huge numbers of news articles to find related articles of interest, which is a tedious and often an impossible task. In order to solve this problem, we present a novel approach, called InFRSS, which consists of a correlation-based phrase matching (CPM) model and a fuzzy compatibility clustering (FCC) model. CPM can detect RSS news articles containing phrases that are the same as well as semantically alike, and dictate the degrees …