Smart Driver Assistance For Multipoint Day Trip Planning

Project Code :TCMAFS1321

Objective

The primary objective of the Smart Driver Assistance for Multipoint Day Trip Planning system is to create a unified digital platform that simplifies and enhances the way tourists plan their day trips across multiple locations. Tourists often face difficulties in organizing visits to multiple tourist spots, managing time efficiently, and booking accommodations — especially in unfamiliar cities.

Abstract

This project presents a comprehensive emulation study utilizing NVMeVirt to evaluate the performance characteristics of NVMe SSDs in cloud-like environments. It analyzes the impact of various workload patterns (sequential, random, and Zipfian), queue depths, and concurrent jobs on key metrics including throughput, latency, IOPS, and energy consumption, with a comparison to SATA SSDs. The platform enables users to register, log in after admin approval, select storage types and workloads, set parameters, run simulations, view results with criteria, manage profiles, and log out. Administrators can log in, approve/reject users, manage users, monitor user experiments, and log out. Built with ReactJS for the frontend, Spring Boot for the backend, and MySQL for data management, this system provides a scalable tool for optimizing NVMe-based storage in cloud data centers to meet the demands of modern data-intensive applications.

Keywords: Cloud Storage, NVMe Emulation, NVMeVirt, Software-Defined Storage, Storage Performance Analysis, Workload Characterization, Energy Efficiency.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.