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» Google's MapReduce programming model - Revisited
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SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 7 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
CCGRID
2010
IEEE
13 years 8 months ago
Designing Accelerator-Based Distributed Systems for High Performance
Abstract--Multi-core processors with accelerators are becoming commodity components for high-performance computing at scale. While accelerator-based processors have been studied in...
M. Mustafa Rafique, Ali Raza Butt, Dimitrios S. Ni...
CLOUDCOM
2010
Springer
13 years 5 months ago
Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services
Abstract--The cloud computing model aims to make largescale data-intensive computing affordable even for users with limited financial resources, that cannot invest into expensive i...
Jesús Montes, Bogdan Nicolae, Gabriel Anton...
PLDI
2012
ACM
11 years 10 months ago
RockSalt: better, faster, stronger SFI for the x86
Software-based fault isolation (SFI), as used in Google’s Native Client (NaCl), relies upon a conceptually simple machine-code analysis to enforce a security policy. But for com...
Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-...
SIGMOD
2010
ACM
207views Database» more  SIGMOD 2010»
14 years 10 days ago
Automatic contention detection and amelioration for data-intensive operations
To take full advantage of the parallelism offered by a multicore machine, one must write parallel code. Writing parallel code is difficult. Even when one writes correct code, the...
John Cieslewicz, Kenneth A. Ross, Kyoho Satsumi, Y...