TRUSTER: TRajectory data processing on clusters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5463, Issue , 2009, Pages 768-771

  Yang, Bin ^a   Ma, Qiang ^a   Qian, Weining ^b   Zhou, Aoying ^b  

^a FUDAN UNIVERSITY   (China)

^b EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED PROCESSING TECHNIQUES; INDEXING METHODS; LOCATION DATA; LOCATION-BASED SERVICES; SPATIOTEMPORAL QUERIES; TRAJECTORY DATA;

DATABASE SYSTEMS; INDEXING (OF INFORMATION); TRAJECTORIES;

DATA PROCESSING;

EID: 67650119084     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00887-0_69     Document Type: Conference Paper

References (5)

1. Pfoser, D., Jensen, C.S., Theodoridis, Y.: Novel approaches in query processing for moving object trajectories. In: VLDB, pp. 395-406 (2000)
2. Dean, J., Ghemawat, S.: Mapreduce: Simplified data processing on large clusters. In: OSDI, pp. 137-150 (2004)
3. Yang, B., Qian, W., Zhou, A.: Using wide table to manage web data: a survey. Frontiers of Computer Science in China 2(3), 211-223 (2008)
4. Bialecki, A., Cafarella, M., Cutting, D., OMalley, O.: Hadoop: a framework for running applications on large clusters built of commodity hardware, http://lucene.apache.org/hadoop
5. Theodoridis, Y., Silva, J.R.O., Nascimento, M.A.: On the generation of spatiotemporal datasets. In: Güting, R.H., Papadias, D., Lochovsky, F.H. (eds.) SSD 1999. LNCS, vol. 1651, pp. 147-164. Springer, Heidelberg (1999)