Prototyping an Autonomic Cloud Infrastructure to Manage Live Streaming Applications Using a Software Defined Network: Performance Analysis and Challenges

Abstract

Resource management in distributed environments, such as Cloud virtualized networks, is one of the main concerns of infrastructure providers. Despite the many advantages of centralized solutions, their unique point of failure and the lack of scalability make us consider the use of distributed and autonomic solutions. Beyond this, centralized solutions would be inefficient to deal with dynamic and peak situations. By using simple rules, each autonomic node can independently act and react according to the scenario's changes without the knowledge of the whole system, making autonomic management robust and adaptable. The main goal of this paper is to present the Role-Based Self-Appointment for Live Streaming (RBSA4LS) prototype, developed considering Software Defined Network technologies. The prototyped was developed and used to evaluate RBSA4LS performance. Our results show a significant decrease in network traffic and an increase of client Quality of Experience (QoE).