Log based method for faster IoT queries

With increase in size of Internet of Things IoT device networks and applications, tremendous increase is witnessed in IoT data. Efficient storage and querying of this data is of major concern. This paper addresses the issue of faster query processing of this data. It presents a Log Based Method LBM to store and query IoT data in Resource Description Framework RDF format. LBM exploits skewedness in access pattern of records by analyzing query workload and partitions the basic triple table into hot and cold sections. Our method is able to answer 64% queries with 83% of time gain, using only 8% of identified hot data over basic triple table. Parallel execution of LBM is found to be 69% faster than its serial execution.