Investigating the Performance of Video-on-Demand Systems Over WLANs Using Generic Association Control

The problem of scalable video-on-demand (VoD) delivery has been extensively studied over the past years, in the context of wired networks. As VoD-based applications are gaining more and more attention, there is an increasing need of ubiquitous access for them. Wireless networks can be the answer to this need. However, the system behind the application must be scalable to deal with a growing amount of simultaneous accesses, while guaranteeing QoS. Thus the performance of VoD systems must be revisited in this new context, especially aiming scalability. In this paper, we present a preliminary study of a system-level design for VoD systems that operate over 802.11 networks, where commodity Access Points (APs) work collocated in no-overlapping channels which are orchestrated by a central entity that is responsible for controlling the association of clients to the APs. The simulation conducted demonstrates that our system design, using the generic least loaded first heuristic, can use the full aggregate bandwidth as collocated APs allow to. Despite the effective use of bandwidth, it achieved a low blockage rate only for short-length videos at low arrival rates, and performed poorly when video length and arrival rate grow.

[1]  Aura Ganz,et al.  Multimedia Wireless Networks: Technologies, Standards and QoS , 2003 .

[2]  Michael Wong,et al.  The Family Dynamics of 802.11 , 2003, ACM Queue.

[3]  Abdul Hamid Sadka Compressed Video Communications , 2002 .

[4]  Claudio Luis de Amorim,et al.  Assessing the efficiency of stream reuse techniques in P2P video-on-demand systems , 2006, J. Netw. Comput. Appl..

[5]  Duc A. Tran,et al.  MobiVoD: a video-on-demand system design for mobile ad hoc networks , 2004, IEEE International Conference on Mobile Data Management, 2004. Proceedings. 2004.

[6]  Sunghyun Choi,et al.  Link adaptation strategy for IEEE 802.11 WLAN via received signal strength measurement , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[7]  Jing Zhu,et al.  802.11 mesh networks with two-radio access points , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[8]  José M. Garrido Practical Process Simulation Using Object-Oriented Techniques and C++ , 1998 .

[9]  Satish K. Tripathi,et al.  Link quality based association mechanism in IEEE 802.11 h compliant wireless LANs , 2005 .

[10]  Thierry Turletti,et al.  A media-oriented transmission mode selection in 802.11 wireless LANs , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[11]  Minoru Etoh,et al.  Advances in Wireless Video Delivery , 2005, Proceedings of the IEEE.

[12]  Tzi-cker Chiueh,et al.  WiVision: a wireless video system for real-time distribution and on-demand playback , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[13]  Joerg Habetha,et al.  IEEE 802.11 Contention-Based Medium Access for Multiple Channels , 2005 .

[14]  Tzi-cker Chiueh,et al.  Coverage and Capacity Issues in Enterprise Wireless LAN Deployment , 2005 .

[16]  Tzi-cker Chiueh,et al.  Architecture and algorithms for an IEEE 802.11-based multi-channel wireless mesh network , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[17]  Seung-Jae Han,et al.  Fairness and Load Balancing in Wireless LANs Using Association Control , 2004, IEEE/ACM Transactions on Networking.

[18]  Shiann-Tsong Sheu,et al.  Dynamic Load Balance Algorithm (DLBA) for IEEE 802.11 Wireless LAN , 1999 .