StriPre A VM Disk Migration Prefetching Algorithm

Project Code :TCMAFS1324

Objective

The objective of this project is to develop a prefetching algorithm, StriPre, for improving cross-cloud VM disk migration performance. The algorithm leverages disk access patterns, particularly alternating access patterns, to prefetch data in advance, reducing the migration time. The system also aims to compare StriPre with existing migration strategies like sequential prefetching and demonstrate its effectiveness in reducing migration latency and improving IO hit rates.

Abstract

This project presents a web-based platform for seamless user and support interaction with the system, incorporating role-specific functionalities for user registration, migration request handling, and support ticket management. The platform facilitates a structured user experience, beginning with user registration, followed by admin approval for login access. Users can then request migration, monitor migration status, view their profiles, and securely log out. Support staff have similar login approval workflows, allowing them to view and manage tickets, check and update ticket statuses, and manage their profiles. Administrators are empowered to approve or reject users, manage all users, view and update ticket statuses, and ensure efficient platform operation. The system is designed with a focus on usability, scalability, and security, using modern web technologies such as ReactJS for the frontend, Spring Boot for the backend, and MySQL for data management. This platform streamlines user and support workflows, ensuring a smooth migration process and ticket resolution cycle in a cloud environment.

Keywords: User Migration, Ticket Management, User Role Management, Cloud Systems, Web Platform, Admin Approval, Secure Login, Workflow Optimization.

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