Modeling and Analysis of Communication Networks in Multicluster Systems Under Spatio-Temporal Bursty Traffic
Multi-cluster systems have emerged as a promising infrastructure for provisioning of cost-effective high-performance computing and communications. Analytical models of communication networks in cluster systems have been widely reported. However, for tractability and simplicity, the existing models are based on the assumptions that the network traffic follows the non-bursty Poisson arrival process and the message destinations are uniformly distributed. Recent measurement studies have shown that the traffic generated by real-world applications reveals the bursty nature in both the spatial domain (i.e., non-uniform distribution of message destinations) and temporal domain (i.e., bursty message arrival process).