http://dita.ncsa.uiuc.edu/xllora There is never enough data Sun, 18 May 2008 04:20:40 +0000 http://backend.userland.com/rss092 en I am just working on unifying all my blogs, and this has been the first one. The new one is located here http://www.xavierllora.net/ http://dita.ncsa.uiuc.edu/xllora/2008/05/17/moving-this-blog/ Finally we have finished setting up the website for Meandre a semantic-driven data-intensive flow engine. Meandre provides basic infrastructure for data-intensive computation. It provides, among others, tools for creating components and flows, a high-level language to describe flows, and multicore and distributed execution environment based on a service-oriented paradigm. We ... http://dita.ncsa.uiuc.edu/xllora/2008/04/18/meandre-semantic-driven-data-intensive-flow-engine/ It has been a greet meeting. Lots of interesting ideas and a lot to explore from now on. Just what I like :D. I summarized below the list of post I make related to the meeting. Introductory post Data-Intensive Scalable Computing. Randy Bryant, CMU Text ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/summary-of-bdcsg2008-blogging/ NSF listens at you academics. Jeannete opens the floor with this claim. Questions: What are the limitations of this modeling paradigm (data-intensive one)? What are meaningful metrics of performance here? What about security processes and data on a shared resource? How can we reduce power consumption? Can this parading problem ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-nsf-plans-for-supporting-data-intensive-computing-jeannette-wing-and-christophe-bisciglia/ The next speaker of the afternoon is Phil Gibbons from Intel Research. Intel has created a research theme on data-rich computing for the next few years (same as the other one presented on the Hadoop summit about ground modeling). An approach, bring the computation to the data (cluster approach), but ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-data-rich-computing-where-its-all-phil-gibbons/ Alex is opening the talk showing a clear exponential growth in Astronomy (LSST and the petabyte example generation). Data generated from sensors keep growing like crazy. Images have more and more resolution. Hopkin's databases started with the digital sky initiative, with generated 3 terabytes of data in the 90's, and ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-scientific-applications-of-large-databases-alex-szalay/ Raghu (former professor at Madison Wisconsin, now at Yahoo!) is leading a very interesting project on largely scale storage (Sherpa). Here you can find some of my unconnected notes. Software as a service requires to CPU and data. Cloud computing using assimilated to Map-Reduce grids, but they decouple computation and ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-sherpa-cloud-computing-of-the-third-kind-raghu-ramakrishnan/ Joe open fires saying "The web is big, a lot of monkeys pushing keys". Funny. The industrial revolution of data is coming. Large amounts of data are going to be produce. The other revolution is the hardware revolution, leading to the question of how we program such animals to avoid ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-what-goes-around-joe-hellerstein/ Marc takes the floor and starts talking about the web graphs (the one generated by pages hyperlinks). Hyperlinks is a key element of the element. Lately webpages has an increase of the number of links, usually generated by CMS (for instance navigation). However, there is a change on the meaning ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-mining-the-web-graph-marc-najork/ How can we help social science to do their science, but also how can we create systems from the lessons learned. This topics also include security and sensitivity of the data. He also review from the Karate papers to the latest papers about social networks. Scale changes the way you ... http://dita.ncsa.uiuc.edu/xllora/2008/03/26/bdcsg2008-algorithmic-perspectives-on-large-scale-social-network-data-jon-kleinberg/