= 2009-09-28 =

 * MIE 2009 Tokyo (Day 1)

== Cloud Computing : !OpenNebula ==

 * [http://indico.cern.ch/sessionDisplay.py?sessionId=74&slotId=0&confId=55893#2009-09-21 Grids and Cloud Computing: Perspectives and Early Experiences]
 * [http://indico.cern.ch/sessionDisplay.py?sessionId=15&slotId=0&confId=55893#2009-09-21 Collaboration between the EGEE and RESERVOIR projects]
 * [http://www.pervasivetechnologylabs.iu.edu/pubs/power-aware-scheduling-virtual-machines-dvfs-enabled-clusters OpenNenula for Energy Efficient: Power-Aware Scheduling of Virtual Machines in DVFS-enabled Clusters]

 * [http://ieeexplore.ieee.org/xpl/tocresultprintf.jsp?isnumber=5233600&ResultStart=0 OpenNebula 投稿 IEEE Internet Computing]
  * [http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4236 Intenet Computing]

== Cloud Service / Application ==

 * [http://brownywalking.blogspot.com/2009/09/webapp-google-docs-viewer.html 用 Google docs Viewer 開啟文件連結]

== Hadoop vs Sector ==

 * [http://blog.rgrossman.com/2009/09/27/some-new-performance-studies-for-large-data-clouds/ Some New Performance Studies for Large Data Clouds]
|| Configuration || Sector/Sphere || Hadoop ||
|| 1 rack (32 nodes) || 28m 25s || 85m 49s ||
|| 2 racks (64 nodes) || 15m 20s || 37m 0s ||
|| 3 racks (96 nodes) || 10m 19s || 24m 14s ||
|| 4 racks (128 nodes) || 7m 56s || 17m 45s ||

== Hadoop ==

 * http://www.asterdata.com/ - the first DBMS to tightly integrate SQL with MapReduce
  * 雖然還沒很深入了解這間公司的技術背景，但這也意味著 MapReduce 與資料庫整合的需求是夠高的!!

 * [http://www.sdtimes.com/blog/post/2009/09/21/Hadoop-World-Shows-Diverse-Uses.aspx Hadoop World shows diverse uses] - 一年前，大家都問我：Hadoop 該應用在哪裡呢?? 一年之後，或許該問：還有哪些想要應用 Hadoop 才加速的呢??
{{{
    * Large Scale Transaction Analysis, Joe Cunningham, VISA
    * Data Processing for Financial Services, Peter Krey and Sih Lee, JP Morgan Chase
    * Protein Alignment, Paul Brown, Booz Allen
    * Real-Time Business Intelligence, Bradford Stephens, Visible Technologies
    * Understanding Natural Language, Charles Ward and Karthik Balaji, General Sentiment
    * Matchmaking in the Cloud, Ben Hardy, eHarmony
    * Hadoop for Bioinfomatics, Deepak Singh, Amazon Web Services
}}}

 * [http://blog.pdatasolutions.com/post/191978092/ruby-on-hadoop-quickstart Ruby on Hadoop Quickstart]

== 智慧生活 ==

 * [http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?id=0000151299_DYE1H5SLLW3P1E8C07UBA&ct=1 智慧生活新興產品應用成果 全面實現政府i236計畫]

== Sensor Network ==

 * [http://www.giichinese.com.tw/conference/rtls-wireless09/ WIRELESS SENSOR NETWORKS & RTLS SUMMIT （無線感應器網路＆RTLS高峰會）]