Third-generation virtualized architecture for the MVNO context

The third-generation architectures have to support multiple mobile virtual network operators (MVNOs). They have also to host different types of these virtual operators. Virtualizing these architectures will allow the MVNOs to rapidly deploy their equipment. It will separate the management domain between them and the mobile host operator. It will also allow sharing resources and reducing the deployment cost. Motivated by these requirements, we propose some MVNO distributed architectures. First of all, we evaluate the physical and virtual deployment time, then we define the utility function of the equipment for the different types of MVNOs. The utility function evaluates the gain in deployment time for each type of MVNO. This function has to be maximized. Our study demonstrates that the data calls type is the best MVNO candidate for virtualization. This latter consistently yields the best overall utility across an important number of network equipment to be virtualized by varying the time required for software installation and the time spent to determine the physical position of the equipment.

[1]  Akshat Verma,et al.  pMapper: Power and Migration Cost Aware Application Placement in Virtualized Systems , 2008, Middleware.

[2]  Aameek Singh,et al.  Server-storage virtualization: integration and load balancing in data centers , 2008, HiPC 2008.

[3]  Akshat Verma,et al.  Power-aware dynamic placement of HPC applications , 2008, ICS '08.

[4]  Alvin AuYoung,et al.  Service contracts and aggregate utility functions , 2006, 2006 15th IEEE International Conference on High Performance Distributed Computing.

[5]  Aameek Singh,et al.  Shares and utilities based power consolidation in virtualized server environments , 2009, 2009 IFIP/IEEE International Symposium on Integrated Network Management.

[6]  Asser N. Tantawi,et al.  Experience with collaborating managers: node group manager and provisioning manager , 2006, Second International Conference on Autonomic Computing (ICAC'05).

[7]  Gautam Kar,et al.  Application Performance Management in Virtualized Server Environments , 2006, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006.

[8]  Marc Cheboldaeff Interactions between a Mobile Virtual Network Operator and External Networks with Regard to Service Triggering , 2007, Sixth International Conference on Networking (ICN'07).

[9]  Jordi Torres,et al.  Utility-based placement of dynamic Web applications with fairness goals , 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

[10]  Asser N. Tantawi,et al.  Performance management for cluster-based web services , 2005, IEEE Journal on Selected Areas in Communications.

[11]  Morten Riis,et al.  Deployment of Mobile Switching Centers in a Telecommunications Network: A Stochastic Programming Approach , 2004, Telecommun. Syst..

[12]  Arun Venkataramani,et al.  Black-box and Gray-box Strategies for Virtual Machine Migration , 2007, NSDI.

[13]  Fermín Galán Márquez,et al.  Scenario-based virtual network infrastructure management in research and educational testbeds with VNUML , 2009, Ann. des Télécommunications.