10 search results - page 2 / 2 » SJMR: Parallelizing spatial join with MapReduce on clusters |
SIGMOD
2007
ACM
14 years 5 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
SIGMOD
2012
ACM
11 years 8 months ago
2012
ACM
Cloud enabled systems have become a crucial component to efficiently process and analyze massive amounts of data. One of the key data processing and analysis operations is the Sim...
PVLDB
2010
13 years 4 months ago
2010
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...
FPGA
2010
ACM
13 years 10 months ago
2010
ACM
This paper describes a heterogeneous computer cluster called Axel. Axel contains a collection of nodes; each node can include multiple types of accelerators such as FPGAs (Field P...
EDBT
2011
ACM
12 years 9 months ago
2011
ACM
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...