Distributed Orchestration in Cloud Data Centers

Orchestration systems in cloud platforms are responsible for creating, managing and assigning the computational and network bandwidth resources to the requesting services. Conventional orchestration approaches in data centers are based on centralized solutions where they are a single point of failure, and a potential performance bottleneck. In this paper, using the notions of Markov approximation method and auction theory, we propose a fully distributed resource management scheme for data centers. The proposed solution takes into account the operational and economic constraints of the services and the servers in the data center and maximizes a global system utility function in a fully distributed manner. Simulation results show the effectiveness of the proposed solution in terms of speed of convergence, accuracy and resource utilization for applicability in next generation cloud systems.