Cloud-Based Parametrized Publish/Subscribe System for Public Safety Applications in Smarter Cities

Abstract

Smart city is the future city that benefits from the emerging technologies to manage the complexity, and improve the quality of life in many aspects including public safety, healthcare, transportation, or energy. Public safety is an important issue, and in urban environment such as smart city, it is necessary to conduct much research to study the surveillance systems for public safety. It is important to know how to improve its performance especially with the utilization of cloud solutions in order to find the suspicious events in the near real time. For emergency and monitoring applications in distributed systems, Publish/Subscribe system is widely used and studied because of its advantages including the loosely coupled form of interaction, and the full decoupling in time, space, and synchronization between publishers and subscribers. So, combining its advantages with the offered benefits of cloud can be an optimal solution in order to use it in public safety surveillance applications in smarter cities. Subscriptions in a Publish/Subscribe system can be static or parametric. There is extensive work on static subscriptions where its constituent predicates stay fixed once defined. In contrast, there is little work on the emerging Publish/Subscribe parametric subscriptions despite of its proven efficiency in the existing few studies. In this work, we examine the use of the parametric subscriptions in the context of public safety scenario. We illustrate the use of it by showing some examples. Furthermore, we propose cloud-based Publish/Subscribe framework with some details that explain how system works.