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» Optimizing for parallelism and data locality
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TPDS
2002
198views more  TPDS 2002»
15 years 6 months ago
Orthogonal Striping and Mirroring in Distributed RAID for I/O-Centric Cluster Computing
This paper presents a new distributed disk-array architecture for achieving high I/O performance in scalable cluster computing. In a serverless cluster of computers, all distribute...
Kai Hwang, Hai Jin, Roy S. C. Ho
ESWS
2008
Springer
15 years 8 months ago
A Semantic Web Middleware for Virtual Data Integration on the Web
In this contribution a system is presented, which provides access to distributed data sources using Semantic Web technology. While it was primarily designed for data sharing and sc...
Andreas Langegger, Wolfram Wöß, Martin ...
172
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CORR
2007
Springer
95views Education» more  CORR 2007»
15 years 6 months ago
Scheduling in Data Intensive and Network Aware (DIANA) Grid Environments
In Grids scheduling decisions are often made on the basis of jobs being either data or computation intensive: in data intensive situations jobs may be pushed to the data and in co...
Richard McClatchey, Ashiq Anjum, Heinz Stockinger,...
BMCBI
2005
122views more  BMCBI 2005»
15 years 6 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
BTW
2007
Springer
136views Database» more  BTW 2007»
16 years 25 days ago
System P: Completeness-driven Query Answering in Peer Data Management Systems
Abstract: Peer data management systems (PDMS) are a highly dynamic, decentralized infrastructure for large-scale data integration. They consist of a dynamic set of autonomous peers...
Armin Roth, Felix Naumann