View source for Cloud Computing Applications

{{Meeting Sessions
|SubmitterName=Phil Yang and Thomas Huang
|Chair=Richard Martin
|Meeting=Summer 2012
|SessionType=breakout
|Title=Cloud Computing Big Data Applications
|Abstract=Cloud computing offers not only a computing infrastructure but also an environment for our current systems and data with an elastic and on demand characteristics that enables us to tackle computing problems that were previously (not possible) limited by our local computing/storage resources. This session includes four 20 minutes technical presentations focusing on design and implementations of cloud-enabled applications/services that utilize distributed computing technologies like Eucalyptus, EC2, Azure, Hadoop/MapReduce, etc. The four projects identified include: 
*Mike Gangl, PO.DAAC - on the DMAS federate architecture using ZooKeeper
*George Chang, LMMP - on using Hadoop
*Long Pham/Aijun Chen, GSE DAAC - Migrating OpenDAP, GDS, and Giovanni to the Cloud (needs confirmation from Long)
*Phil Yang, GMU and Karl Benedict, UNM - Utilize Cloud Computing to Enable Dust Storm Forecasting

|VirtualPresenters=no
|VirtualParticipants=yes
|CollabAreas=Cloud Computing, Earth Science Collaboratory, Geospatial, Information Quality, Information Technology and Interoperability, Products and Services, Semantic Web
}}