Dealing heavy IoT systems with hybrid cloud platform

Abstract

In Today's world, whenever there is talk about Cloud computing, there is always an assumption of a scalable and secure platform that can provide stability at a low price. No matter which vendor one chooses, expectations are to manage the workload dynamically with high performance and efficient costing. Talking about large IoT systems, hosting them over a single cloud never solves the purpose of workload utilization and cost and thus exploits the computing over the cloud. Since IoT is covering almost every industry around the globe without any geographic limitations and even in space, it is often becoming very hard to cover the cost as well as manage resources with the right utilization in any framework or architecture. In this paper, we have built these gaps and challenges by proposing a Hybrid cloud model that can check the requirements of different IoT systems and lay down these functions over multiple clouds based on predefined policies. These requirements are nothing but business requirements from business holders about resource prices and concepts. The Hybrid cloud model fetches the state of these different clouds and assigns the requirements to the most appropriate cloud. As a result of this hybrid model, there is a major increase in stability and utilization with effective cost.