As cloud computing platform provides computing power as utilities, it is important to develop a mechanism to adaptively adjust the resources needed for handling cloud service. In this paper, a computing resource minimization framework for cloud-based surveillance video analysis systems is proposed. Videos streams are divided into clips and multiple processing nodes are used to handle clips. While the quality-of-service (QoS) is maintained, the proposed framework dynamically adjusts the number of processing nodes based on a proposed content-aware workload estimation mechanism. Experimental results show that the proposed mechanism successfully predicts the variability of system workload while QoS is maintained and outperforms other mechanisms in terms of average virtual machine (VM) quantity and job failure ratio.

Although random access operations are desirable for on-demand video streaming in peer-to-peer systems, they are difficult to efficiently achieve due to the asynchronous interactive behaviors of users and the dynamic nature of peers. In this paper, we propose a network coding equivalent content distribution (NCECD) scheme to efficiently handle interactive video-on-demand (VoD) operations in peer-to-peer systems. In NCECD, videos are divided into segments that are then further divided into blocks. These blocks are encoded into independent blocks that are distributed to different peers for local storage. With NCECD, a new client only needs to connect to a sufficient number of parent peers to be able to view the whole video and rarely needs to find new parents when performing random access operations. In most existing methods, a new client must search for parent peers containing specific segments; however, NCECD uses the properties of network coding to cache equivalent content in peers, so that one can pick any parent without additional searches. Experimental results show that the proposed scheme achieves low startup and jump searching delays and requires fewer server resources. In addition, we present the analysis of system parameters to achieve reasonable block loss rates for the proposed scheme.

In this paper, a receiver driven overlap Forward Error Correction (FEC) scheme, which offers unequal importance protection of video layers, is proposed to protect H.264/SVC video over the Internet. A mathematical model is provided to calculate video quality in terms of subjective Video Quality Metric (VQM). With the provided mathematical model, the video server prepares for receivers a lookup table, which lists all optimal combinations of video and FEC layers under various available downlink bandwidth and packet drop rates. By table lookup, a receiver can determine an optimal combination of video and FEC layers to subscribe to maximize the subjective video quality based on its available downlink bandwidth and packet drop rates.

To eliminate packet loss accumulation and overcome bursty packet loss problems caused by peer departures in peer-to-peer (P2P) streaming systems, a multisource structure combining with a distributed forward error correction (FEC) scheme is proposed. In the proposed structure, each peer connects to multiple parents according to the prespecified FEC packets ensemble and each parent forwards partial streaming packets to the peer. If one or few parents fail, other parents can still provide remaining part of streaming packets that can be used to recover the missing packets by using packet level FEC scheme. Packet loss probability and packet loss accumulation from parent peers to child peers in tree-based P2P streaming systems are investigated. The analysis and NS2 simulation results show that packet loss probability is reduced and furthermore the packet loss accumulation can be eliminated when an appropriate FEC protection is used.

In this paper, we propose a scheme for peer-to-peer (P2P) live streaming with multi-source multicast and forward error correction. In our scheme, there is a control topology for membership management, and a multi-source multicast tree for data delivery. The control topology facilitates peers to locate multiple sources for media content, and the multisource multicast tree make the system adaptive to node churn and packet loss. Simulation results show that the performance of our proposed method is significantly better than that of BitTorrent-Like (BT-Like) systems.

In this paper, we propose a multi-source multicast structure combining with a distributed FEC scheme to overcome burst packet loss problems caused by peer departures in P2P live streaming systems. The analytical results show that the burst packet loss can be eliminated by using multi-source structure with appropriate FEC parameters. A prototype system is implemented to verify that the proposed system is practically feasible and effective. The experimental results show the proposed system can effectively overcome the burst packet loss by taking advantage on the multiple source structure with the distributed FEC scheme.

This paper presents an on-demand connection-oriented multi-channel MAC protocol for ad-hoc networks. The major characteristics of proposed protocol are: (a) each mobile node is equipped with two network interfaces, (b) frame broadcasting is supported and (c) no time synchronization is needed. Compared with other multi-channel MAC protocols, the proposed protocol reduces the cost of channel negotiation by considering the property that a connection generates multiple frames for transmitting. NS-2 is used to evaluate the performance of the proposed protocol. Simulation results show that the proposed protocol can reduce the cost of channel negotiation and increase the network throughput