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» Google's MapReduce programming model - Revisited
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HPDC
2010
IEEE
13 years 8 months ago
Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Diana Moise, Gabriel Antoniu, Luc Bougé
ICWE
2010
Springer
13 years 6 months ago
Syncro - Concurrent Editing Library for Google Wave
Abstract. The web accelerated the way people collaborate globally distributed. With Google Wave, a rich and extensible real-time collaboration platform is becoming available to a l...
Michael Goderbauer, Markus Goetz, Alexander Gro&sz...
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
13 years 7 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...
INFOCOM
2011
IEEE
12 years 11 months ago
Scheduling in mapreduce-like systems for fast completion time
Abstract—Large-scale data processing needs of enterprises today are primarily met with distributed and parallel computing in data centers. MapReduce has emerged as an important p...
Hyunseok Chang, Murali S. Kodialam, Ramana Rao Kom...
CLUSTER
2009
IEEE
13 years 5 months ago
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
With the advent of high-performance COTS clusters, there is a need for a simple, scalable and faulttolerant parallel programming and execution paradigm. In this paper, we show that...
Reza Farivar, Abhishek Verma, Ellick Chan, Roy H. ...