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» MapReduce Programming Model for .NET-Based Cloud Computing
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2009
ACM
15 years 4 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 9 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
ISPAN
2009
IEEE
15 years 4 months ago
High-Performance Cloud Computing: A View of Scientific Applications
— Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by ...
Christian Vecchiola, Suraj Pandey, Rajkumar Buyya
HPDC
2010
IEEE
14 years 9 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...
EUROPAR
2009
Springer
15 years 4 months ago
Provider-Independent Use of the Cloud
Abstract. Utility computing offers researchers and businesses the potential of significant cost-savings in that it is possible for them to match the cost of their computing and s...
Terence J. Harmer, Peter Wright, Christina Cunning...