Proposal and Evaluation of Data-Model Translation for Server-Virtualization Environment to Improve Virtual-Network Configuration Management

Abstract

To reduce the operational load of virtual-network operation in data centers that contain server virtualization platforms and network switches provided by multiple vendors, it would become the challenge to ease management of configurations which are different among server-virtualization environments. This paper proposes a new data-model translation method to unify data-model among multiple configurations of server-virtualization platforms. As the result of evaluation with 24 virtual machines, data-model translation overhead was less than 10% of the time to acquire virtual-machine configuration, and the network management system took 80.5 s to generate configuration information for the overall system. These results indicate that the proposed method is effective to improve the efficiency of configuration management of virtual networks.