An XML Description Language for Web-Based Network Simulation
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Advanced virtualization capabilities of POWER5 systems
IBM Journal of Research and Development - POWER5 and packaging
Network Virtualization: A Viable Path Towards the Future Internet
Wireless Personal Communications: An International Journal
Network virtualization: a view from the bottom
Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures
A European approach to a clean slate design for the future internet
Bell Labs Technical Journal - Core and Wireless Networks
Network virtualization: state of the art and research challenges
IEEE Communications Magazine
A survey of network virtualization
Computer Networks: The International Journal of Computer and Telecommunications Networking
Moving to the edge: a CTO roundtable on network virtualization
Communications of the ACM
VN-SLA: A Virtual Network Specification Schema for Virtual Network Provisioning
ICN '10 Proceedings of the 2010 Ninth International Conference on Networks
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While the virtualization concept and its underlying technologies have been adopted in the computer networks field, as in many other Information Technology areas, a generic model of network virtualization environments (NVEs) has not, yet, been proposed. This lack of conceptual impression imposes limitations on the representation and management of these environments. In this paper we propose a new modular and extensible conceptual model, based on Distributed Management Task Force's Common Information Model (DMTF CIM), which can be applied to most scenarios of NVE architectures. We, also, present a test case where the model is extended to include Statistical Process Control methods for guaranteed network performance delivery. In this example, an NVE spans different virtual server nodes, which provide its required resources, and this architecture is modeled and managed resulting in a mechanism to assess and control the overall resources consumption.