Log based method for faster IoT queries

Jain, Anubha; Padiya, Trupti; Bhise, Minal

Abstract

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.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2017 IEEE Region 10 Symposium (TENSYMP)
• Start Date: Jul 14, 2017
• End Date: Jul 16, 2017
• Online Publication Date: Oct 19, 2017
• Publication Date: 2017
• Deposit Date: Sep 13, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Pages: 1-4
• Book Title: 2017 IEEE Region 10 Symposium (TENSYMP)
• ISBN: 9781509062560
• DOI: https://doi.org/10.1109/TENCONSpring.2017.8070066
• Public URL: https://uwe-repository.worktribe.com/output/10937869