Detail publikace

Real-Time Indexing of Complex Data Streams

Originální název

Real-Time Indexing of Complex Data Streams

Anglický název

Real-Time Indexing of Complex Data Streams

Jazyk

en

Originální abstrakt

The paper deals with indexing of a complex type data stream stored in a database. We present a novel indexing schema and framework referred to as ReTIn (Real-Time Indexing), the objective of which is to allow indexing of complex data arriving as a stream to a database with respect to soft real-time constraints met with some level of confidence for the maximum duration of insert and select operations. The idea of ReTIn is a combination of a sequential access to the most recent data and an index-based access to less recent data stored in the database. The collection of statistics makes balancing of indexed and unindexed parts of the database efficient. We have implemented ReTIn using PostgreSQL DBMS and its GIN index. Experimental results presented in the paper demonstrate some properties and advantages of our approach.

Anglický abstrakt

The paper deals with indexing of a complex type data stream stored in a database. We present a novel indexing schema and framework referred to as ReTIn (Real-Time Indexing), the objective of which is to allow indexing of complex data arriving as a stream to a database with respect to soft real-time constraints met with some level of confidence for the maximum duration of insert and select operations. The idea of ReTIn is a combination of a sequential access to the most recent data and an index-based access to less recent data stored in the database. The collection of statistics makes balancing of indexed and unindexed parts of the database efficient. We have implemented ReTIn using PostgreSQL DBMS and its GIN index. Experimental results presented in the paper demonstrate some properties and advantages of our approach.

BibTex


@inproceedings{BUT113485,
  author="Petr {Chmelař} and Michal {Drozd} and Michal {Šebek} and Jaroslav {Zendulka}",
  title="Real-Time Indexing of Complex Data Streams",
  annote="The paper deals with indexing of a complex type data
stream stored in a database. We present a novel indexing schema and framework
referred to as ReTIn (Real-Time Indexing), the objective of which is to allow
indexing of complex data arriving as a stream to a database with respect to soft
real-time constraints met with some level of confidence for the maximum duration
of insert and select operations. The idea of ReTIn is a combination of
a sequential access to the most recent data and an index-based access to less
recent data stored in the database. The collection of statistics makes balancing
of indexed and unindexed parts of the database efficient. We have implemented
ReTIn using PostgreSQL DBMS and its GIN index. Experimental results presented in
the paper demonstrate some properties and advantages of our approach.",
  address="Springer International Publishing",
  booktitle="Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering",
  chapter="113485",
  doi="10.1007/978-3-319-06773-5",
  edition="Lecture Notes in Electrical Engineering",
  howpublished="print",
  institution="Springer International Publishing",
  year="2015",
  month="january",
  pages="371--378",
  publisher="Springer International Publishing",
  type="conference paper"
}