A Multi-Tenant SaaS Framework for Hostel Management Deployed on AWS Elastic Beanstalk with Elastic Auto-Scaling

Abstract: The administration of residential accommodation in educational institutions and private establishments remains heavily dependent on manual registers and isolated desktop tools, an approach that scales poorly and offers little resilience. The emergence of cloud-native Software-as-a-Service (SaaS) delivery, combined with managed deployment platforms, presents an opportunity to consolidate such administration into a single elastic service shared across many independent organizations. This paper proposes a multi-tenant SaaS framework for hostel management that isolates the data of each tenant within a shared infrastructure while provisioning, scaling, and monitoring are delegated to a managed cloud platform. The system adopts a shared-database, shared-schema tenancy model with a tenant identifier propagated through every request, enforced by an authentication and role-based access-control layer. The application couples a Node.js and React presentation layer with a Python service tier and a relational data store, and is deployed through AWS Elastic Beanstalk behind a load balancer with horizontal auto-scaling. Experimental evaluation under synthetic concurrent load demonstrated that the auto-scaled deployment sustained an average response time below 460 ms at 1,200 concurrent users, where a single-instance baseline degraded beyond 3,600 ms, and peak throughput rose from 320 to 1,480 requests per second. The principal contributions are a pragmatic tenant-isolation design, an automated elastic deployment pipeline, and an empirical characterization of scalability and cost-efficiency for institutional accommodation management.

Keywords: Multi-Tenancy, Software-as-a-Service, Cloud Computing, AWS Elastic Beanstalk, Auto-Scaling, Hostel Management, Role-Based Access Control, Web Application