Load-sharing overlay network design for ubiquitous video surveillance services

Abstract

Prevalence of wired and wireless access to Internet enables ubiquitous video surveillance (UVS) service could be fulfilled to further provide diversified surveillance services. IP multicast not only delivers live surveillance videos to Internet users in a cost-effective way, but also provides a distributed processing architecture for surveillance video to effectively extract different valuable surveillance information in real-time. However, most of Internet routers turn off IP multicasting to prevent irrelevant flooding traffic. Thus, an UVS overlay network (UVSMON) design is proposed to effectively provide surveillance video streaming over Internet. This paper will address problems of surveillance video broadcasting via overlay network. The proposed solution focuses on how to construct an efficient overlay network with load sharing for surveillance video streaming, and how to make this overlay network stable. Furthermore, proposed overlay network design will not only minimizes the negative impact of user's frequent leaving from overlay network, but also support fast join function to reduce the time when a new user joins. Furthermore, improved load balancing optimization based on bandwidth and life time is also proposed. The simulation results from different test cases demonstrate the effectiveness of proposed load-sharing overlay network design for UVSMON.Keywords-ubiquitous video surveillance, multicast overlay network, load balancing.

Effective distributed service architecture for ubiquitous video surveillance

“…so-called UVSMON) (Chen et al 2009 After briefly introducing the four major subsystems for the implementation of UVS, we are going to present in further details that how these subsystems can help UVS to achieve ubiquity, privacy, reliability, interoperability and scalability.…”

“…Thanks to the load balancing (LB) scheme (Chen et al 2009) proposed for MAs applied in UVS, the local MA with camera-ready CP shares the traffic loading with other N MAs in the worst case of all the SRs locating in different multicast islands. Therefore, the queueing delay of service latency in the worst case of proposed UVS might be reduced to less than 3GSS.…”

“…On each of these islands, there is a host running a multicast routing demon and these islands are connected with one another via unicast tunnels. Service components are connected over Internet and multicast traffic can be reached with all service components via applied multicast overlay network (Chen et al 2009). …”

Implementation and Evaluation of Large-Scale Video Surveillance System Based on P2P Architecture and Cloud Computing

“…In [10], authors proposed an overlay network architecture by application layer multicast with load balancing scheme to effectively provide ubiquitous video surveillance service. The proposed approach can provide Internet users with scalable and stable surveillance video streaming, since the simulations and results demonstrate that our improved optimization of load balancing via both averaging bandwidth and life time has better performance in overhead of control message, service disruption, and tree depth than the other optimization criterion.…”

“…Therefore, the reliability of a centralized server will be descended to the LVSS. There are works [8][9][10][11][12][13][14][15] that have been proposed for supporting a framework of VSS based on various technologies. Unfortunately, most of them do not solve mentioned issues to support large-scale VSS.…”