A scalable and adaptive cloud-based message brokering service

Recently, message brokering services that are based on publish and subscribe paradigm are widely adopted in many areas such as remote facilities monitoring. Typically, they support a large scale distributed network of exchanging messages between services and clients. In this paper, we introduce a cloud-based message brokering service which allows better scalability and dynamic load balancing between brokers. Our system framework monitors each virtual machine (VM)´s resources and in order to meet the service level agreement (SLA), a VM is rented or recollected automatically by the system. The framework also provides the best available broker that a client can use for connections. Our experimental results show that our system framework can achieve up to 58.60% of scalability improvement at the maximum number of subscriber connections.