Sciweavers

377 search results - page 40 / 76
» Accelerating Large Data Analysis by Exploiting Regularities
Sort
View
FTTCS
2006
132views more  FTTCS 2006»
14 years 11 months ago
Algorithms and Data Structures for External Memory
Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Jeffrey Scott Vitter
TMA
2012
Springer
254views Management» more  TMA 2012»
13 years 7 months ago
Steps towards the Extraction of Vehicular Mobility Patterns from 3G Signaling Data
Abstract. The signaling traffic of a cellular network is rich of information related to the movements of its devices across cell boundaries. Thus, passive monitoring of anonymized ...
Pierdomenico Fiadino, Danilo Valerio, Fabio Riccia...
IMC
2004
ACM
15 years 5 months ago
An analysis of live streaming workloads on the internet
In this paper, we study the live streaming workload from a large content delivery network. Our data, collected over a 3 month period, contains over 70 million requests for 5,000 d...
Kunwadee Sripanidkulchai, Bruce M. Maggs, Hui Zhan...
ICDE
2010
IEEE
227views Database» more  ICDE 2010»
15 years 6 months ago
Incorporating partitioning and parallel plans into the SCOPE optimizer
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
Jingren Zhou, Per-Åke Larson, Ronnie Chaiken
111
Voted
IPPS
2010
IEEE
14 years 9 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...