Name
Abstract | ||
|---|---|---|
This paper addresses the problem of efficient processing a large set of proximity monitoring queries. Many location-based applications are enabled by handling many moving queries over mobile objects. Efficient processing of such queries mainly relies on effective probing because it needs a huge amount of distance-based comparison. To reduce processing time, we propose a new search algorithm that utilizes MapReduce. We introduce a concept of processing categorization and the MapReduce-based query processing algorithm. Through simulations, we demonstrate the efficiency of the proposed method for a wide range of location-based applications. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2701126.2701184 | IMCOM |
Keywords | Field | DocType |
algorithms,design,mapreduce,geographic information systems,location based services,performance,query processing | Categorization,Data mining,Geographic information system,Search algorithm,Computer science,Location-based service,Batch processing | Conference |
Citations | PageRank | References |
2 | 0.37 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| GiWoong Nam | 1 | 2 | 0.71 |
| Dongeun Kim | 2 | 2 | 1.05 |
| JongHyeok Lee | 3 | 2 | 0.37 |
| Hee Yong Youn | 4 | 943 | 142.78 |
| Ung Mo Kim | 5 | 123 | 21.70 |