Difference between revisions of "Cloud Computing Applications"

From Federation of Earth Science Information Partners
Line 1: Line 1:
 
{{Meeting Sessions
 
{{Meeting Sessions
 
|SubmitterName=Phil Yang and Thomas Huang
 
|SubmitterName=Phil Yang and Thomas Huang
 +
|Chair=Richard Martin
 
|Meeting=Summer 2012
 
|Meeting=Summer 2012
 
|SessionType=breakout
 
|SessionType=breakout
 
|Title=Cloud Computing Big Data Applications
 
|Title=Cloud Computing Big Data Applications
|Abstract=Cloud computing offers more than just the infrastructure, that is, an environment for our current systems and data.  Cloud computing provides an elastics computing platform that enables us to tackle computing problems there were previously limited by our local computing/storage resources. In this session we will solicit between 3-5 30 min technical presentations focusing on design and implementations of cloud-enabled applications/services that utilize distributed computing technologies like MapReduce, Job Coordination, NoSQL, search, etc. Current projects identified include: FGDC/GeoCloud, PO.DAAC/DMAS, and JPL/LMMP.
+
|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=yes
 
|VirtualPresenters=yes

Revision as of 20:18, June 4, 2012

< Back to Summer 2012 Meeting Page

SubmitterName Phil Yang and Thomas Huang
Submitteremail
Meeting Summer 2012
SessionType breakout"breakout" is not in the list (Workshop, Breakout Session, Business meeting) of allowed values for the "SessionType" property.
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 yes
VirtualParticipants yes
CoConveners
CollabAreas Cloud Computing, Earth Science Collaboratory, Geospatial, Information Quality, Information Technology and Interoperability, Products and Services, Semantic Web