Operating system support for multimedia systems

Plagemann, Thomas; Goebel, Vera; Halvorsen, Pål; Anshus, Otto J.

doi:10.1016/s0140-3664(99)00180-2

Cited by 28 publications

(20 citation statements)

References 112 publications

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“…In particular, servers offering real-time guarantees in order to support the timely delivery of continuous media were investigated [95,111]. Whereas ensuring that the continuity of a single continuous media stream is relatively straightforward, supporting multiple users without violating the integrity of other requested media streams necessitated the employment of appropriate admission control mechanisms.…”

Section: Communication Systemsmentioning

confidence: 99%

From content distribution networks to content networks — issues and challenges

Plagemann

Goebel

Mauthe

et al. 2006

Computer Communications

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Due to the technical developments in electronics the amount of digital content is continuously increasing. In order to make digital content respectively multimedia content available to potentially large and geographically distributed consumer populations, Content Distribution Networks (CDNs) are used. The main task of current CDNs is the efficient delivery and increased availability of content to the consumer. This area has been subject to research for several years. Modern CDN solutions aim to additionally automate the CDN management. Furthermore, modern applications do not just perform retrieval or access operations on content, but also create content, modify content, actively place content at appropriate locations of the infrastructure, etc. If these operations are also supported by the distribution infrastructure, we call the infrastructure Content Networks (CN) instead of CDN. In order to solve the major challenges of future CNs, researchers from different communities have to collaborate, based on a common terminology. It is the aim of this paper, to contribute to such a terminology, to summarize the state-of-the-art, and to highlight and discuss some grand challenges for CNs that we have identified. Our conception of these challenges is supported by the answers to a questionnaire we received from many leading European research groups in the field. q

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Section: Communication Systemsmentioning

confidence: 99%

From content distribution networks to content networks — issues and challenges

Plagemann

Goebel

Mauthe

et al. 2006

Computer Communications

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“…The crucial issues that contribute to this situation include copy operations, context switches, multiple copies of the same data element in main memory, and checksum calculation in communication protocols [32]. The key idea of INSTANCE is to avoid the above mentioned bottlenecks and improve the server performance by combining the following three orthogonal techniques in a radically new architecture [18]:…”

Section: Introductionmentioning

confidence: 99%

“…Several zero-copy architectures removing physical data copying have been designed to optimize resource usage and performance using shared memory, page remapping, or a combination of both [32]. These approaches reduce resource consumption of individual clients, but concurrent clients requesting the same data require each its own set of resources.…”

Section: Introductionmentioning

confidence: 99%

“…Traditional broadcast or multicast is an easy way of dealing with per client resource allocation, but startup delay might be a problem. To minimize the startup delay, a couple of broadcast partitioning schemes are proposed [32]. Still, zero-copy and delayminimized broadcasting only reduce the per-data or per-client resource usage, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated error management for media-on-demand services

Halvorsen

Plagemann²,

Goebel³

Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer An

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Abstract-Data servers for multimedia applications like News-onDemand represent a severe bottleneck, because a potentially (very) high number of users concurrently retrieve data with high data rates. In the Intermediate Storage Node Concept (INSTANCE) project, we develop a new architecture for Media-on-Demand servers that maximizes the number of concurrent clients a single server can support. Traditional bottlenecks, like copy operations, multiple copies of the same data element in main memory, and checksum calculation in communication protocols are avoided by applying three orthogonal techniques: zero-copy-one-copy memory architecture, network level framing, and integrated error management. In this paper, we describe design, implementation, and evaluation of our integrated error management mechanism. Our results show that the reuse of parity information from a RAID system as forward error correction information in the transport protocol reduces the server workload and enables smooth playout at the client.

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“…To support multiple concurrent users each retrieving a high data rate multimedia stream, the operating system and server architecture must be improved and optimized. Crucial issues include copy operations and multiple copies of the same data in main memory [12]. A major bottleneck in high throughput systems is the send() system call (and equivalents) which copies data from the application buffer in user space to the kernel memory region.…”

Section: Introductionmentioning

confidence: 99%