The linked smart data is coming from various IoT devices are enormous in nature. Therefore, capturing and real-time processing IoT smart data is a challenging task these days. The linked stream Big Data processing mechanisms play a crucial role in capturing and real-time data processing on IoT data. In this paper, calculated the performance analysis of a four processing mechanisms namely - Continuous Simple Protocol and RDF Query Language (C-SPARQL), Continuous Query Evaluation over Linked Streams (CQELS), Event Processing Simple Protocol and RDF Query Language (EP-SPARQL), Event Transaction Logic in Information System (ETALIS) and Scalable Two-Level Index Scheme (STLIS). These are the mainly used mechanisms by researchers for Big Data linked stream processing. Using REFIT Smart home dataset, the experiments are conducted by taking several SPARQL queries. Finally, the STLIS mechanism is outperforms compared to the other streaming mechanisms.
展开▼
