TY - GEN
T1 - A Multi-agent Based Framework for RDF Stream Processing
AU - Mebrek, Wafaa
AU - Bouzeghoub, Amel
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - When a large amount of data is generated from multiple, heterogeneous and continuous data streams, the need for continuous processing and on-the-fly consumption of the overwhelming flow of data is crucial. In this context, the W3C RDF Stream Processing (RSP) Community Group has defined a common model for continuous querying RDF Streams, giving rise to a plethora of RSP engines. However, their main limitation is that, depending on the application queries, one RSP engine may be more appropriate than another, or multiple engines are required to address complex queries. In this paper, we propose a multi-agent based framework for distributed continuous processing that gives the opportunity to use several RSP engines in the same framework in order to benefit from their advantages and to offer the possibility to use them at the same time or in a sequence to answer complex queries. A preliminary experimental evaluation with a real-world benchmark shows promising results when compared to an existing work.
AB - When a large amount of data is generated from multiple, heterogeneous and continuous data streams, the need for continuous processing and on-the-fly consumption of the overwhelming flow of data is crucial. In this context, the W3C RDF Stream Processing (RSP) Community Group has defined a common model for continuous querying RDF Streams, giving rise to a plethora of RSP engines. However, their main limitation is that, depending on the application queries, one RSP engine may be more appropriate than another, or multiple engines are required to address complex queries. In this paper, we propose a multi-agent based framework for distributed continuous processing that gives the opportunity to use several RSP engines in the same framework in order to benefit from their advantages and to offer the possibility to use them at the same time or in a sequence to answer complex queries. A preliminary experimental evaluation with a real-world benchmark shows promising results when compared to an existing work.
U2 - 10.1007/978-3-030-99584-3_45
DO - 10.1007/978-3-030-99584-3_45
M3 - Conference contribution
AN - SCOPUS:85128637964
SN - 9783030995836
T3 - Lecture Notes in Networks and Systems
SP - 516
EP - 528
BT - Advanced Information Networking and Applications - Proceedings of the 36th International Conference on Advanced Information Networking and Applications AINA-2022
A2 - Barolli, Leonard
A2 - Hussain, Farookh
A2 - Enokido, Tomoya
PB - Springer Science and Business Media Deutschland GmbH
T2 - 36th International Conference on Advanced Information Networking and Applications, AINA 2022
Y2 - 13 April 2022 through 15 April 2022
ER -