A Performance-Adaptive and Time-Monitored Autonomous Ticket Booking Service in Cloud

With the increasing demand for autonoumous ticket booking services for all kinds of events, user numbers and service performance requirements increase dramatically. Platforms such as BASH, Ticketmaster, Eventbrite, and SeatGeek, often outsource such services to third parties, but the operation cost is often high. Therefore the performance for time-critical requirements is without monitoring. Furthermore, the cloud platform is becoming a popular solution for event opganizing platforms due to its mighty computation power. In order to address these issues, this study presents a cloud-based, performance-adaptive, and time-monitored autonomous ticket booking system, utilizing a paradigm for booking as a service that can be readily included into cloud platforms. Together with the implementation itself, we also provide a variety of flexible service settings that may serve a specified number of concurrent users while consuming the least amount of resources. We carry out thorough implementations to verify our methodology.