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» A Model of Computation for MapReduce
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2009
ACM
15 years 8 months ago
Lessons learned from a year's worth of benchmarks of large data clouds
In this paper, we discuss some of the lessons that we have learned working with the Hadoop and Sector/Sphere systems. Both of these systems are cloud-based systems designed to sup...
Yunhong Gu, Robert L. Grossman
197
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DOLAP
2010
ACM
14 years 11 months ago
Relational versus non-relational database systems for data warehousing
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...
AAIM
2009
Springer
172views Algorithms» more  AAIM 2009»
15 years 6 months ago
PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications
Abstract. This paper presents PLDA, our parallel implementation of Latent Dirichlet Allocation on MPI and MapReduce. PLDA smooths out storage and computation bottlenecks and provid...
Yi Wang, Hongjie Bai, Matt Stanton, Wen-Yen Chen, ...
JPDC
2011
219views more  JPDC 2011»
14 years 8 months ago
BlobSeer: Next-generation data management for large scale infrastructures
As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé,...
VEE
2012
ACM
232views Virtualization» more  VEE 2012»
13 years 9 months ago
DVM: towards a datacenter-scale virtual machine
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenterscale programming has become an imperative research age...
Zhiqiang Ma, Zhonghua Sheng, Lin Gu, Liufei Wen, G...