Abstract: The context situation refers the global view extracted from massive context information collected from a wide area．Along with the popularity of various mobile terminals with the ability to sense its context,it is a great problem to get this kind of situation and provide better service based on what we get．On the basis of the “terminal＋cloud” computing paradigm,this paper proposed a unified abstract model for mobile terminals to realize context collections．And then,we proposed an algorithm to realize the aggregation of massive context information on the cloud side,which is based on the MapReduce computing pattern．We validated the research content of this paper by a large-scale context management framework as well as a traffic situation application based on this framework.

Key words: Context situation,Software abstract model,Aggregation,MapReduce,Rule-based