Class Based Admission Control by Complete Partitioning -Video on Demand Server

In the next generation network (NGN) environment specific consideration is on bandwidth minimization, because this reduces the cost of network. In response to the growing market demand for multimedia traffic transmission, NGN concept has been produced. The next generation network provides multimedia services over high speed networks, which supports DVD quality video on demand. Although it has numerous advantages, more exploration of the large-scale deployment video on demand is still needed. The focus of the research presented in this paper is a class based admission control by the complete partitioning of the video on demand server. In this paper we present analytically and by simulation how the blockage probability of the server significantly affects the on demand video request and the service. We also present how the blockage probability affects the performance of the video on demand server.Comment: 12 Pages, IJCN

Statistical Information of the Increased Demand for Watch the VOD with the Increased Sophistication in the Mobile Devices,Communications and Internet Penetration in Asia

As the rapid progress of the media streaming applications such as video streaming can be classified into two types of streaming, Live video streaming, Video on Demand (VoD). Live video streaming is a service which allows the clients to watch many TV channels over the internet and the clients able to use one operation to perform is to switch the channels. Video on Demand (VoD) is one of the most important applications for the internet of the future and has become an interactive multimedia service which allows the users to start watching the video of their choice at anytime and anywhere, especially after the rapid deployment of the wireless networks and mobile devices. In this paper provide statistical information about the Internet, communications and mobile devices etc. This has led to an increased demand for the development, communication and computational powers of many of the mobile wireless subscribers/mobile devices such as laptops, PDAs, smart phones and notebook. These techniques are utilized to obtain a video on demand service with higher resolution and quality. Another objective in this paper is to see Malaysia ranked as a fully developed country by the year 2020.Comment: 17 pages, 17 figures, 4 tables; The International Journal of Multimedia & Its Applications (IJMA) Vol.3, No.4, November 201

Novel Proactive Patch Peer Protocol to Support Faster Delivery of Video-on-Demand

© ASEE 2011An important feature in the convergence of network is provision of multimedia applications. Multimedia consists of different classes but video-on-demand (VoD) has been more focusing research area in recent years. VoD enables the users to watch and select the contents of songs and movies on demand. There is still no concrete technique to attain the goals of delivering the video on demand fastly. Secondly the delivery of video on demand to heterogeneous mobile environment is very exigent task because multimedia services face various limitations mostly caused by the wireless channel unpredictability, limited bandwidth, assorted behavior of protocols, standards and fading effect, etc. The users mostly face the issues of downloading the on-line applications and data by using VoD method on heterogamous networks. To reduce these problems, we propose and simulate the novel technique of proactive patch peer (PPP) protocol to support the delivery of VoD. This protocol gets the peer from server and requests the remaining part (patch) for playing the video from one distance neighbour node on the basis of stored information for one hop distance of node onto the profile of requesting nodes. The protocol uses unicast scheme to reduce the network traffic load and avoid the bottleneck. The other features of PPP are to save the bandwidth and make the faster delivery of video on demand as compare with other previous techniques. We first present the concept and architecture of PPP, and then introduce used techniques for unicast VoD method. We also target and evaluate the multicasting issues for delivery of VoD. Our experimental results demonstrate on the basis of simulation that the proposed PPP is more effective, faster and bandwidth saving protocol for delivery of VoD

Design and Implementation of a Media Uploading System

This paper presents the design and performance analysis of an uploading system that automatically uploads multimedia files to a centralized server given client hard deadlines. If not uploaded by the deadlines, existing files may be lost or new files cannot be recorded. The uploading systems with hard deadlines have several important applications in practice. For instance, such systems can be used in hospitals to gather videos generated from medical devices from various operating rooms for post-procedure analysis and in law enforcement to collect video recordings from police cars during routine patrolling. In this paper, we study the uploading system with hard deadlines in detail. We present the software architecture of the uploading system. Two server scheduling algorithms that determine which client uploads its file first are investigated . We introduce two emergency control algorithms to handle situations when a client is about to use up its disk space. We evaluate the proposed algorithms via analysis and simulations. Our performance study additionally reveals the impact of the emergency control algorithms on the server scheduling algorithms

Interactivity And User-heterogeneity In On Demand Broadcast Video

Video-On-Demand (VOD) has appeared as an important technology for many multimedia applications such as news on demand, digital libraries, home entertainment, and distance learning. In its simplest form, delivery of a video stream requires a dedicated channel for each video session. This scheme is very expensive and non-scalable. To preserve server bandwidth, many users can share a channel using multicast. Two types of multicast have been considered. In a non-periodic multicast setting, users make video requests to the server; and it serves them according to some scheduling policy. In a periodic broadcast environment, the server does not wait for service requests. It broadcasts a video cyclically, e.g., a new stream of the same video is started every t seconds. Although, this type of approach does not guarantee true VOD, the worst service latency experienced by any client is less than t seconds. A distinct advantage of this approach is that it can serve a very large community of users using minimal server bandwidth. In VOD System it is desirable to provide the user with the video-cassette-recorder-like (VCR) capabilities such as fast-forwarding a video or jumping to a specific frame. This issue in the broadcast framework is addressed, where each video and its interactive version are broadcast repeatedly on the network. Existing techniques rely on data prefetching as the mechanism to provide this functionality. This approach provides limited usability since the prefetching rate cannot keep up with typical fast-forward speeds. In the same environment, end users might have access to different bandwidth capabilities at different times. Current periodic broadcast schemes, do not take advantage of high-bandwidth capabilities, nor do they adapt to the low-bandwidth limitation of the receivers. A heterogeneous technique is presented that can adapt to a range of receiving bandwidth capability. Given a server bandwidth and a range of different client bandwidths, users employing the proposed technique will choose either to use their full reception bandwidth capability and therefore accessing the video at a very short time, or using part or enough reception bandwidth at the expense of a longer access latency

Video delivery technologies for large-scale deployment of multimedia applications

Deployment of a large-scale multimedia streaming application requires an enormous amount of server and network resources. The simplest delivery technique allocates server resources for each specific request. This technique is very expensive and is not scalable to support a very large user community such as the Internet. Hence, the past decade has witnessed tremendous research efforts to facilitate cost-effective, large-scale deployment of multimedia streaming applications. In this paper, we describe three complementary research approaches: server transmission schemes using multicast, streaming strategies with application layer multicast, and proxy caching techniques. We discuss pros and cons of these technologies and provide our observations on current business solutions

Video Delivery Technologies For Large-Scale Deployment Of Multimedia Applications

Deployment of a large-scale multimedia streaming application requires an enormous amount of server and network resources. The simplest delivery technique allocates server resources for each specific request. This technique is very expensive and is not scalable to support a very large user community such as the Internet. Hence, the past decade has witnessed tremendous research efforts to facilitate cost-effective, large-scale deployment of multimedia streaming applications. In this paper, we describe three complementary research approaches: server transmission schemes using multicast, streaming strategies with application layer multicast, and proxy caching techniques. We discuss pros and cons of these technologies and provide our observations on current business solutions. © 2004 IEEE

Video delivery technologies for large-scale deployment of multimedia applications

Deployment of a large-scale multimedia streaming application requires an enormous amount of server and network resources. The simplest delivery technique allocates server resources for each specific request. This technique is very expensive and is not scalable to support a very large user community such as the Internet. Hence, the past decade has witnessed tremendous research efforts to facilitate cost-effective, large-scale deployment of multimedia streaming applications. In this paper we describe three complementary research approaches: server transmission schemes using multicast, streaming strategies with application layer multicast, and proxy caching techniques. We discuss pros and cons of these technologies and provide our observations on current business solutions