Fabio Valdés
ABSTRACT
We propose to conduct a tutorial on importing, distributing, indexing, querying, and updating a large real-world trajectory dataset in the DBMS Secondo. Participants having installed the system and extracted the dataset will be able to follow the tutorial actively.
- Lorenzo Bracciale, Marco Bonola, Pierpaolo Loreti, Giuseppe Bianchi, Raul Amici, and Antonello Rabuffi. 2014. Crawdad Dataset Roma/Taxi. http://crawdad.org/roma/taxi/20140717.Google Scholar
- Database Systems for New Applications, Fernuniversität Hagen. 1995--2019. Secondo - An Extensible Database System. http://dna.fernuni-hagen.de/secondo/index.html.Google Scholar
- Database Systems for New Applications, Fernuniversität Hagen. 2019. Secondo Virtual Machine Appliance for VMWare Player. http://dna.fernuni-hagen.de/secondo/content_down.html#vm.Google Scholar
- Victor Teixeira de Almeida, Ralf Hartmut Güting, and Thomas Behr. 2006. Querying Moving Objects in Secondo. In MDM. 47--51.Google Scholar
- Ralf Hartmut Güting and Thomas Behr. 2016. Distributed Query Processing in Secondo. http://dna.fernuni-hagen.de/secondo/files/Documentation/General/DistributedQueryProcessinginSecondo.pdf.Google Scholar
- Ralf Hartmut Güting, Thomas Behr, and Christian Düntgen. 2010. Secondo: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations. IEEE Data Eng. Bull. 33, 2 (2010), 56--63.Google Scholar
Index Terms
- Proposal for a Tutorial on Distributed Trajectory Management in Secondo
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