Difference between revisions of "Private:cloud computing reading list"

From NMSL
Line 22: Line 22:
  
 
* [http://labs.vmware.com/download/84/ Optimizing Network Virtualization in Xen] ATC 2006
 
* [http://labs.vmware.com/download/84/ Optimizing Network Virtualization in Xen] ATC 2006
 
* [http://www.mmc.igeofcu.unam.mx/femp/Varios/SC11/src/pdf/.../sr11.pdf Cloud versus in-house cluster: evaluating Amazon cluster compute instances for running MPI applications] SC 2011
 
 
* [http://www.cs.duke.edu/starfish/files/cluster-sizing.pdf No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics] SOCC 2011
 
* [http://berkeley.intel-research.net/bgchun/clonecloud-eurosys11.pdf CloneCloud: elastic execution between mobile device and cloud] EuroSys 2011
 
  
 
Cloud Economics:
 
Cloud Economics:
Line 38: Line 33:
 
Multimedia systems and applications in Cloud:
 
Multimedia systems and applications in Cloud:
  
 +
* [http://www.mmc.igeofcu.unam.mx/femp/Varios/SC11/src/pdf/.../sr11.pdf Cloud versus in-house cluster: evaluating Amazon cluster compute instances for running MPI applications] SC 2011
 +
 +
* [http://www.cs.duke.edu/starfish/files/cluster-sizing.pdf No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics] SOCC 2011
 
Some emerging areas:
 
Some emerging areas:
 
* [http://www.cs.cmu.edu/~satya/docdir/satya-mobicloud-2010.pdf Mobile Computing: the Next Decade] MobiCloud 2010
 
* [http://www.cs.cmu.edu/~satya/docdir/satya-mobicloud-2010.pdf Mobile Computing: the Next Decade] MobiCloud 2010
 +
* [http://berkeley.intel-research.net/bgchun/clonecloud-eurosys11.pdf CloneCloud: elastic execution between mobile device and cloud] EuroSys 2011
 
* [http://www.usenix.org/event/hotice11/tech/full_papers/Zhang.pdf Dynamic Resource Allocation for Spot Markets in Cloud Computing Environments] UCC 2011
 
* [http://www.usenix.org/event/hotice11/tech/full_papers/Zhang.pdf Dynamic Resource Allocation for Spot Markets in Cloud Computing Environments] UCC 2011

Revision as of 15:56, 25 April 2012

receivers to turn off their wireless interfaces for longer periods of time in order to save energy. We construct the burst transmission schedules that reduce the energy consumption without sacrificing the video quality or introducing any buffer overflow or underflow instances. We rigorously evaluate the proposed algorithms using simulation and mathematical analysis.


People

Publications

Discussion and Ideas

Reading List

Fundamentals:

Cloud Architectures:

Cloud Economics:

Programming for Cloud:

Multimedia systems and applications in Cloud:

Some emerging areas: