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» Making cloud intermediate data fault-tolerant
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CLOUD
2010
ACM
13 years 9 months ago
Making cloud intermediate data fault-tolerant
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
SIGMOD
2011
ACM
171views Database» more  SIGMOD 2011»
12 years 7 months ago
BRRL: a recovery library for main-memory applications in the cloud
In this demonstration we present BRRL, a library for making distributed main-memory applications fault tolerant. BRRL is optimized for cloud applications with frequent points of c...
Tuan Cao, Benjamin Sowell, Marcos Antonio Vaz Sall...
CLOUD
2010
ACM
13 years 9 months ago
RACS: a case for cloud storage diversity
The increasing popularity of cloud storage is leading organizations to consider moving data out of their own data centers and into the cloud. However, success for cloud storage pr...
Hussam Abu-Libdeh, Lonnie Princehouse, Hakim Weath...
CLOUD
2010
ACM
13 years 9 months ago
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Dominic Battré, Stephan Ewen, Fabian Hueske...
CVGIP
2007
99views more  CVGIP 2007»
13 years 4 months ago
Meshless geometric subdivision
Point-based surface processing has developed into an attractive alternative to mesh-based processing techniques for a number of geometric modeling applications. By working with po...
Carsten Moenning, Facundo Mémoli, Guillermo...