148 search results - page 3 / 30 » Experiences on Processing Spatial Data with MapReduce |
SIGMOD
2010
ACM
15 years 2 months ago
2010
ACM
Time-oriented progress estimation for parallel queries is a challenging problem that has received only limited attention. In this paper, we present ParaTimer, a new type of timere...
HPDC
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
CIKM
2009
Springer
15 years 2 months ago
2009
Springer
With the development of positioning technologies and the boosting deployment of inexpensive location-aware sensors, large volumes of trajectory data have emerged. However, efficie...
106
click to vote
SIGMOD
2012
ACM
13 years 21 hour ago
2012
ACM
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...
SSD
2005
Springer
15 years 3 months ago
2005
Springer
Spatial data are particularly useful in mobile environments. However, due to the low bandwidth of most wireless networks, developing large spatial database applications becomes a c...