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Dietrich, André; Mohammad, Siba; Zug, Sebastian; Kaiser, Jörg
ROS Meets Cassandra: Data Management in Smart Environments with NoSQL (Conference)
Proc. of the 11th International Baltic Conference (Baltic DB&IS 2014), Tallinn, Estonia, 2014.
(Abstract | Links | BibTeX | Tags: Cassandra, Database, Robotics, Smart Environment)
@conference{dietrich2014cassandra,
title = {ROS Meets Cassandra: Data Management in Smart Environments with NoSQL},
author = {André Dietrich and Siba Mohammad and Sebastian Zug and Jörg Kaiser},
url = {http://eos.cs.ovgu.de/wp-content/uploads/2014/09/ROS-Meets-Cassandra-Data-Management-in-Smart-Environments-with-NoSQL.pdf
http://eos.cs.ovgu.de/wp-content/uploads/2015/06/sozi-presentation.svg},
year = {2014},
date = {2014-06-08},
booktitle = {Proc. of the 11th International Baltic Conference (Baltic DB&IS 2014)},
pages = {43–54},
address = {Tallinn, Estonia},
abstract = {Distributed and smart environments can be seen as a distributed storage for data, information, and knowledge. Thus, one of the key challenges for future smart environments is the organization, access, and querying of this distributed storage while allowing entities to dynamically access both real-time and historical data. A relatively new approach for data management, the NoSQL databases, promises data-model flexibility, high scalability, and availability without the overhead in the fully fledged traditional Relational Database Management Systems (RDBMS)s. In our work, we exploit the previous benefits of NoSQL databases by integrating Cassandra into the Robotic Operating System (ROS). We evaluated our approach in two scenarios; within a realistic robotic exploration and with a pessimistic benchmark using randomly generated data.},
keywords = {Cassandra, Database, Robotics, Smart Environment}
}
Distributed and smart environments can be seen as a distributed storage for data, information, and knowledge. Thus, one of the key challenges for future smart environments is the organization, access, and querying of this distributed storage while allowing entities to dynamically access both real-time and historical data. A relatively new approach for data management, the NoSQL databases, promises data-model flexibility, high scalability, and availability without the overhead in the fully fledged traditional Relational Database Management Systems (RDBMS)s. In our work, we exploit the previous benefits of NoSQL databases by integrating Cassandra into the Robotic Operating System (ROS). We evaluated our approach in two scenarios; within a realistic robotic exploration and with a pessimistic benchmark using randomly generated data.
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