Evaluation of a Monitoring-Based Architecture for Delivery of High Quality Multimedia Content

Coppens, Jan; Wauters, Tim; Turck, Filip De; Dhoedt, Bart; Demeester, Piet

doi:10.1109/iscc.2005.68

Cited by 2 publications

(6 citation statements)

References 10 publications

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“…Caching mechanisms are described and evaluated in References 7-9. Another relevant aspect in large systems is traffic analysis [10][11][12] for handling properly user redirection [13][14][15] and efficiently deploying physical systems, which is often referred as replica placement [16][17][18]. The mechanism of user redirection is normally (tightly) coupled with the policy employed in selecting the optimal surrogate [19][20][21], which is often a trade-off between low response time and overall load balancing strategy [22][23][24].…”

Section: Previous Workmentioning

confidence: 99%

Analyzing Content Delivery Networks

Molina

Calvo

Palau

et al. 2014

Advanced Content Delivery, Streaming, and Cloud Services

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Section: Previous Workmentioning

confidence: 99%

Analyzing Content Delivery Networks

Molina

Calvo

Palau

et al. 2014

Advanced Content Delivery, Streaming, and Cloud Services

View full text Add to dashboard Cite

“…Based on these findings, we have presented a hybrid CDN architecture and complementing algorithms in [17] and [18]. In this architecture, centralized and distributed components are combined in order to take advantage of the benefits of both approaches.…”

Section: Architecture For the Management Of A Cdnmentioning

confidence: 99%

“…COCOA is a heuristic for replica placement designed to fit the CDN architecture presented in [17]. This architecture can be distinguished from other architectures because of the strong cooperation between the content distribution (CD module) and content retrieval (CR module) processes.…”

Section: B Co-operative Cost Optimization Algorithm (Cocoa)mentioning

confidence: 99%

“…The gre-A RPA reduces the load even further, however, its computational complexity makes it unscalable to larger networks. Further performance comparisons, including the overhead to the exact ILP solution, the spread of the traffic over the network and the client-perceived latency, can be found in [17] and [18]. To improve the robustness of the CDN in times of congestion, a technique called multi-source traffic engineering [18] can be applied to balance the load over the entire network.…”

Section: A Complexity and Scalabilitymentioning

confidence: 99%

“…To determine the amount of control capacity that is still available, the monitoring module in the CDN architecture needs to provide the required network state information [17]. For each execution of the RPA, the CD module consults the monitoring module in order to determine the number of remaining replacements.…”

Section: Real-time Rpa Heuristics With On-line Content Placementmentioning

confidence: 99%

See 2 more Smart Citations

Design and Performance of a Self-Organizing Adaptive Content Distribution Network

Coppens¹,

Wauters

Turck

et al. 2006

2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006

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Content distribution networks (CDN) have been increasingly used to deliver bandwidth-intensive multimedia content to a large amount of users. In a CDN, the content is replicated from the origin server to so-called surrogate servers in order to improve the quality of service experienced by the end-users and decrease the network load. However, despite the promising concept, current centralized and distributed CDN architectures lack placement and retrieval algorithms that are both scalable and provide a close to optimal placement. In this article, we propose a novel replica placement algorithm called COCOA (Cooperative Cost Optimization Algorithm), suited for a self-organizing hybrid CDN architecture. Our results show that COCOA achieves a performance comparable to the less scalable centralized algorithms, while maintaining the benefits of distributed approaches. Contrary to the more common off-line content replication and management strategies, on-line replication in a self-optimizing CDN puts an additional strain on the network. We explore techniques to control this traffic and study its implications on the performance of the CDN. Because in a CDN content is replicated to geographically distributed surrogate servers, one of the main benefits is its ability to recover from network failures and increase the availability of content during flash crowds. As illustrated in this article, we succeed in making the CDN more robust by effectively reducing the convergence time of the network after the occurrence of such disruptive events.

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Evaluation of a Monitoring-Based Architecture for Delivery of High Quality Multimedia Content

Cited by 2 publications

References 10 publications

Analyzing Content Delivery Networks

Analyzing Content Delivery Networks

Design and Performance of a Self-Organizing Adaptive Content Distribution Network

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