Efficient Bulk Arrival Management in Multi-Service Retrail Queues with Orbital search Leveraging Rabbit MQ

Abstract

This research paper introduces a novel approach to managing bulk arrivals in a two-phase multi-service retrial queue system, leveraging the efficiency of the Rabbit MQ architecture. The proposed system integrates the concept of orbital search to optimize the queue's performance and resource allocation. Unlike conventional queueing systems, this approach effectively handles large influxes of requests and ensures optimal service delivery across multiple services. In this innovative system, the Rabbit MQ messaging framework is employed as the backbone, providing robust message queuing capabilities. The two-phase retrial mechanism facilitates the efficient handling of failed requests, minimizing resource wastage and maximizing system throughput. Furthermore, the incorporation of orbital search techniques enhances the system's ability to prioritize and route incoming requests, reducing queueing delays and optimizing resource allocation.

This research contributes to the field of queueing theory and system optimization by presenting a comprehensive solution for bulk arrival scenarios. The combination of two-phase retrial and orbital search techniques within the RabbitMQ architecture offers a scalable and efficient approach to managing multi-service queues, making it particularly valuable for modern applications with dynamic workloads and stringent performance requirements.