Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).
Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.
Clusty is a whole new way to search the web. Clusty queries several top search engines, combines the results, and generates an ordered list based on comparative ranking. This "metasearch" approach helps raise the best results to the top and push search engine spam to the bottom. But what really makes Clusty unique is what happens after you search. Instead of delivering millions of search results in one long list, our search engine groups similar results together into clusters. Clusters help you see your search results by topic so you can zero in on exactly what you’re looking for or discover unexpected relationships between items. When was the last time you went to the third or fourth page of the search results? Rather than scrolling through page after page, the clusters help you find results you may have missed or that were buried deep in the ranked list.
DRBD is a block device which is designed to build high availability clusters. This is done by mirroring a whole block device via (a dedicated) network. You could see it as a network raid-1.
In this first of five articles, learn what it means for software to be highly available and how to install and set up heartbeat software from the High-Availability Linux project on a two-node system. You'll also learn how to configure the Apache Web serve
High-performance Linux clustering, Part 1: Clustering fundamentals Introducing the basic concepts of High Performance Computing with Linux cluster technology
L. Bawankule, N. Narole, and R. Pethe. International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3):
1462--1467(March 2015)