NVS: a virtualization substrate for WiMAX networks

This paper describes the design and implementation of a network virtualization substrate NVS) for effective virtualization of wireless resources in WiMAX networks. Virtualization fosters the realization of several interesting deployment scenarios such as customized virtual networks, virtual services and wide-area corporate networks, with diverse performance objectives. In virtualizing a basestation's uplink and downlink resources into slices, NVS meets three key requirements - isolation, customization, and efficient resource utilization - using two novel features: (1) NVS introduces a provably-optimal slice scheduler that allows existence of slices with bandwidth-based and resource-based reservations simultaneously, and (2) NVS includes a generic framework for efficiently enabling customized flow scheduling within the basestation on a per-slice basis. Through a prototype implementation and detailed evaluation on a WiMAX testbed, we demonstrate the efficacy of NVS. For instance, we show for both downlink and uplink directions that NVS can run different flow schedulers in different slices, run different slices simultaneously with different types of reservations, and perform slice-specific application optimizations for providing customized services.

[1]  Dipankar Raychaudhuri,et al.  Virtual basestation: architecture for an open shared WiMAX framework , 2010, VISA '10.

[2]  Ying Li,et al.  DaVinci: dynamically adaptive virtual networks for a customized internet , 2008, CoNEXT '08.

[3]  S. Shenker Fundamental Design Issues for the Future Internet , 1995 .

[4]  Seungwan Ryu,et al.  Wireless Packet Scheduling Algorithm for OFDMA System Based on Time-Utility and Channel State , 2005 .

[5]  Annukka Kiiski IMPACTS OF MVNOs ON MOBILE DATA SERVICE MARKET , 2006 .

[6]  Stefano Avallone,et al.  MAM-UML: an UML profile for the modeling of mobile-agent applications , 2004 .

[7]  Deborah Estrin,et al.  GENI Design Principles , 2006, Computer.

[8]  Gregory Smith,et al.  Wireless virtualization on commodity 802.11 hardware , 2007, WinTECH '07.

[9]  David E. Culler,et al.  PlanetLab: an overlay testbed for broad-coverage services , 2003, CCRV.

[10]  Harrick M. Vin,et al.  Share: run-time system for high-performance virtualized routers , 2005 .

[11]  Thomas Sphicopoulos,et al.  On the Economics of 3G Mobile Virtual Network Operators (MVNOs) , 2006, Wirel. Pers. Commun..

[12]  Raj Jain,et al.  Generalized Weighted Fairness and its application for resource allocation in IEEE 802.16e Mobile WiMAX , 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

[13]  EDDIE KOHLER,et al.  The click modular router , 2000, TOCS.

[14]  Pekka Aavikko,et al.  Network Time Protocol , 2010 .

[15]  Harrick M. Vin,et al.  Start-time fair queueing: a scheduling algorithm for integrated services packet switching networks , 1996, SIGCOMM '96.

[16]  Ion Stoica,et al.  A hierarchical fair service curve algorithm for link-sharing, real-time and priority services , 1997, SIGCOMM '97.

[17]  Raj Jain,et al.  Scheduling in IEEE 802.16e mobile WiMAX networks: key issues and a survey , 2009, IEEE Journal on Selected Areas in Communications.

[18]  Alexander L. Stolyar,et al.  Optimal utility based multi-user throughput allocation subject to throughput constraints , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[19]  Van Jacobson,et al.  Link-sharing and resource management models for packet networks , 1995, TNET.

[20]  Antonio Iera,et al.  Channel-Aware Scheduling for QoS and Fairness Provisioning in IEEE 802.16/WiMAX Broadband Wireless Access Systems , 2007, IEEE Network.

[21]  Ranveer Chandra,et al.  A virtualization architecture for wireless network cards , 2006 .

[22]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[23]  Xin Wang,et al.  A cross-layer scheduling algorithm with QoS support in wireless networks , 2006, IEEE Transactions on Vehicular Technology.