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» Google's MapReduce programming model - Revisited
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SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 11 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
15 years 21 days 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
14 years 9 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
13 years 2 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»
15 years 4 months 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...