Sciweavers

471 search results - page 7 / 95
» MapReduce: Simplified Data Processing on Large Clusters
Sort
View
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...
CIKM
2009
Springer
14 years 9 days ago
Query processing of massive trajectory data based on mapreduce
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
Qiang Ma, Bin Yang 0002, Weining Qian, Aoying Zhou
SIGMOD
2010
ACM
255views Database» more  SIGMOD 2010»
14 years 15 days ago
Large graph processing in the cloud
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...
Rishan Chen, Xuetian Weng, Bingsheng He, Mao Yang
PVLDB
2010
178views more  PVLDB 2010»
13 years 6 months ago
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing)
MapReduce is a computing paradigm that has gained a lot of attention in recent years from industry and research. Unlike parallel DBMSs, MapReduce allows non-expert users to run co...
Jens Dittrich, Jorge-Arnulfo Quiané-Ruiz, A...
PVLDB
2008
216views more  PVLDB 2008»
13 years 6 months ago
Ad-hoc data processing in the cloud
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
Dionysios Logothetis, Ken Yocum