With the cloud computing, storage and computing resources are moving to remote resources such as virtual servers and storage systems in large atacenters, which raisemany performance and management challenges. The distributed cloud networks must have an ability to maintain an acceptable level of service during network failures toprovide high resilience against service failures. This paper presents an eccentric fault tolerant path grouping scheme that can achieve mobility independent Quality of Serviceguaranteed services in distributed cloud networks To make this possible, we propose a path allocation and restora-tion strategy called “Reverse Shared Risk Link Group” anddemonstrates how this concept can be applied to minimize recovery contention in cloud networks and to assess the network convergence associated with failures. To reflect little more actual situations,we assume that the bandwidth of cloud connection requests can be some fraction of the lightpath capacity. Simulation results show that the proposed recovery scheme outperforms other schemes with fewer signaling traffics and contention probability. Very fast restorability can be accomplished formultiple failures.We also has developed an analytical model and performed analysis for the proposed scheme in terms of two performance factors: mean system time and reservation blocking probability.
Cloud network; micro datacenter; fast restoration
Cluster Computing the journal of networks software tools and applications