Scaling cafeteria management application using cloud load balancer
Adarsha Ghimire, Oskar Krishna Shrestha, Sabila Kouser, Bibhuti Rajbhandari, Sakar Khatiwada, Dr Garima Sinha
cross-platform, mobile application, cloud computing, load balancer
User feedback is an essential key to unlock full potential of efficiency and satisfaction in any business model. It enables us, as a business owner or analyst, to identify vulnerable points in our service before they crumble the system. Understanding the importance of user feedback in a business model, we attempt to incorporate a feedback-loop system on college canteen with the help of mobile applications. Thus, we designed a cross-platform mobile application that acts as a common platform to discuss and mitigate issues regarding canteen. With the help of the application, users send their review and rating after a meal which is then processed to be ready for the owner to evaluate and do the needful. Furthermore, testing the application we discovered high network traffic during peak hours result in high latency and wait time. Our initial research suggested the use of load balancer for network traffic and scaling our services horizontally. This enabled us to improve request latency which made the application resilient to network congestions. The app data are securely stored in cloud storage and processed using cloud computing to visualize it to gain proper insights on it. Hence, the system in place will improve service quality bolstering customer satisfaction. We believe that the system when bought to operation will result in productive growth.
Article Details
Unique Paper ID: 159260

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 750 - 756
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