You are here

On the Need for Applications Aware Adaptive Middleware in Real-Time RDF Data Analysis

Publication Type: 
Refereed Original Article
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.
Digital Object Identifer (DOI): 
10.1007/978-3-319-69459-7 13
Publication Status: 
In Press
Date Accepted for Publication: 
Wednesday, 30 August, 2017
Publication Date: 
Lecture Notes in Computer Science series
Research Group: 
National University of Ireland, Galway (NUIG)
Open access repository: