Information caching for delivery of personalized video programs on home entertainment channels

Papadimitriou,; Ramanathan,; Rangan,

doi:10.1109/mmcs.1994.292456

Cited by 33 publications

(18 citation statements)

References 6 publications

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“…Static and/or dynamic mapping of objects onto the DCMS network nodes (the storage space) so that the overall communication-storage cost of the system is optimal. Many researchers have addressed this problem, also known as the Media Asset Mapping Problem (MAMP), by introducing analytical models that consider user access patterns [29] in addition to communication and storage constraints to obtain optimized object distribution and replication (or caching) policies [30], [31], [32], [33]. 2.…”

Section: A Typical Dcms Architecturementioning

confidence: 99%

Decentralized resource management for a distributed continuous media server

Shahabi¹,

Banaei-Kashani²

2002

IEEE Trans. Parallel Distrib. Syst.

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AbstractÐDistributed continuous media server (DCMS) architectures are proposed to minimize the communication-storage cost for those continuous media applications that serve a large number of geographically distributed clients. Typically, a DCMS is designed as a pure hierarchy (tree) of centralized continuous media servers. In an earlier work, we proposed a redundant hierarchical topology for DCMS networks, termed RedHi, which can potentially result in higher utilization and better reliability over pure hierarchy. In this paper, we focus on the design of a resource management system for RedHi that can exploit the resources of its DCMS network to achieve these performance objectives. Our proposed resource management system is based on a fully decentralized approach to achieve optimal scalability and robustness. In general, the major drawback of a fully decentralized design is the increase in latency time and communication overhead to locate the requested object. However, as compared to the typically long duration and high resource/ bandwidth requirements of continuous media objects, the extra latency and overhead of a decentralized resource management approach become negligible. Moreover, our resource management system collapses three management tasks, 1) object location, 2) path selection, and 3) resource reservation, into one fully decentralized object delivery mechanism, reducing the latency even further. In sum, decentralization of the resource management satisfies our scalability and robustness objectives, whereas collapsing the management tasks helps alleviate the latency and overhead constraints. To achieve a high resource utilization, the object delivery scheme uses our proposed cost function, as well as various object location and resource reservation policies to select and allocate the best streaming path to serve each request. The object delivery scheme is designed as an application layer resource management middleware for the DCMS architecture to be independent of the underlying telecommunication infrastructure. Our experiments show that our resource management system is successful in realization of the higher resource utilization for the DCMS networks with the RedHi topology.Index TermsÐDistributed continuous media servers, decentralized resource management, distributed multimedia systems, content delivery networks, distributed information systems, video-on-demand.

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Section: A Typical Dcms Architecturementioning

confidence: 99%

Decentralized resource management for a distributed continuous media server

Shahabi¹,

Banaei-Kashani²

2002

IEEE Trans. Parallel Distrib. Syst.

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“…Most of this work is related to text and hypertext personalization. A few projects have also been investigating personalization of multimedia content: Not and Zancanaro [14] discuss content adaption for audio-based hypertext; Papadimitriou et al [15] describe implementation of personalized entertainment services on broadband network; and Merialdo et al [16] describe a system for personalizing television news to optimize the content value for a specific user.…”

Section: Personalized Contentmentioning

confidence: 99%

Web-based personalization and management of interactive video

Hjelsvold

Vdaygiri

Léauté

2001

Proceedings of the 10th International Conference on World Wide Web

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This paper describes an application framework for providing and managing personalized, interactive video on the web. The application framework enables content providers and aggregators to stream personalized content to end-users. The server stores video and multimedia content that is structured and profiled. The content profile is matched against an end-user's interest profile to determine which parts of the video to include and what hotspots and hyperlinks to provide to the user. The server generates SMIL files that represent the personalized content and returns their unique URLs to the client when responding to end-user requests.This paper also describes how the application framework is implemented by the HotStreams system. HotStreams is implemented using the Java 2 Enterprise Edition (J2EE). HotStreams is eCommerce and micropayment enabled and provides the means for content providers to specify the value of the content down to the level of individual video clips. This allows the content provider to charge for the parts of the video that the end-user actually viewed or received.The HotStreams application includes web-based management tools that enable content managers to manage multimedia objects, to compose, structure, and profile the content, to create and profile hotspots and hyperlinks, and to manage pricing information and advertisements. The management tools are implemented in the form of Java applets that run inside a web browser.

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“…Figure 4 shows a hypothetical schematic characterizing the access to a VOD database for a 24-hour period. Access to the database is high during the evening hours, peaks around 9:00 PM, and is low to mod-5 10 15 20…”

Section: User Traffic Characterizationmentioning

confidence: 99%

Prospects for Interactive Video-on-Demand

1994

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Interactive multimedia systems represent a key technology rapidly evolving from marketing hype and research prototypes to commercial deployments. We survey the technological considerations for designing a largescale, distributed, interactive multimedia system, identifying the core problems and examining approaches proposed and implemented to solve them."If you build it, they will interact." -J. Tierney, New York Times, June 20, 1993. f you believe the recent claims about interactive multimedia technology, we will soon be able to view movies, play video games, I browse libraries, order pizza, and participate in office meetings (in our bare feet!) from within the confines of our homes. Some critics have called interactive multimedia "a technology looking for an application.'' This skepticism appropriately highlights the distinction between the technology (computers and communications) and the applications that use the technology and make it ubiquitous.There is good reason for the excitement. Interactive systems will give users the flexibility of selecting and receiving specific information using a hybrid paradigm of the TV remote control and information retrieval techniques. This differs from traditional television delivery mechanisms, in which the user is a passive participant receiving what the service provider offers. The availability of enormous communication bandwidth and computing power has made it possible to process and deliver information on a per-user, per-session basis in real time. The ability to process information at the source enables the information provider to extract relevant data and modify their characteristics to specific user tastes. Users of such services will have flexibility in choosing the kinds of information they receive. They can also control, based on individual preferences, the manner and time of receipt of this information.The kind of interaction supported depends to a large extent on the kind of information retrieved and on the particular application under consideration. (Often, service providers distinguish interactive services as consumption services, in which they deliver information primarily one way-like movies-and communication services, in which a bidirectional channel is necessary-like teleconferencing.) A home user interacting with movies requires the system to support virtual VCR capabilities, such as the ability to play, forward, reverse, and pause. Most systems use a remote-control device to browse a menu and select movies on a TV screen ( Figure 5). Other interactive features include the ability to avoid or select advertisements, to investigate additional details about news events (through hypermedia, for example), to save or annotate programming for later reference, and to browse, select, and purchase goods. Figure 1 illustrates one example of this technology applied to distance learning. Clearly, the distinction between the computer and the television is blurring.'Several applications deliberately take advantage of interactive information retrieval and disseminatio...

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Information caching for delivery of personalized video programs on home entertainment channels

Cited by 33 publications

References 6 publications

Decentralized resource management for a distributed continuous media server

Decentralized resource management for a distributed continuous media server

Web-based personalization and management of interactive video

Prospects for Interactive Video-on-Demand

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