Performance modeling for local data service in integrated sensing network

Abstract

Owing to the complexity of data types and comments in Integrated Sensing Network (ISN), we adopt database for the data storage and propose a database structure for ISN, including distributed local service database and centralized management database. The multi-level multi-priority queue model is built for analysing the performance of the users accessing to local service database. The simulation results show the average time is 2.3 ms, 2.55 ms, 2.8 ms, 3 ms respectively at the arrival rate benchmark of 0.1 kHz and the proportion of each priority of 1:1:1:1. While at the same arrival rate benchmark, but the proportion is 1:4:4:1, the average response time is 2.25 ms, 3 ms, 4.5 ms, 5.5 ms. The average response time and proportion of arrival rate and throughput rate increases rapidly with the increases of the arrival rate and at a higher arrival rate the gap of each priority is larger.