Nowadays a handful applications are designed to consume dynamic real-time continuous stream data from IoT, Social network, Smart sensors and more. Several RDF Stream Processing (RSP) engines are available to query those data streams. Application designers have the freedom to select the best available RSP engine based on their application requirements. However, this selection needs to be done at design time resulting in early bound rigid solutions that are unable to adapt to changing application requirements. In this paper, we have evaluated two most popular RSP engines to proof that adaptivity is required to bridge the gap between RSP engines and applications requirement. Then we propose an adaptive middleware to adapt to dynamic application requirements during run-time. Moreover, adaptive middleware includes input and output control, monitoring the status of the underlying RSP engines, as a result the adaptive middleware is essential when single or multiple instances of same type engines are available.
|Title of host publication||On the Move to Meaningful Internet Systems. OTM 2017 Conferences - Confederated International Conferences|
|Subtitle of host publication||CoopIS, C and TC, and ODBASE 2017, Proceedings|
|Editors||Adrian Paschke, Christophe Debruyne, Walid Gaaloul, Mike Papazoglou, Herve Panetto, Claudio Agostino Ardagna, Robert Meersman|
|Number of pages||9|
|Publication status||Published - 21 Oct 2017|
|Event||Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Greece|
Duration: 23 Sep 2017 → 27 Sep 2017
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017|
|Period||23/09/17 → 27/09/17|
Bibliographical notePublisher Copyright:
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Copyright 2017 Elsevier B.V., All rights reserved.