Modeling the Internet Delay Space and its Application in Large Scale P2P Simulations

Kaune, Sebastian; Wählisch, Matthias; Pussep, Konstantin

doi:10.1007/978-3-642-12331-3_19

Cited by 4 publications

(4 citation statements)

References 135 publications

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“…A congestion on the return path influences the RTT even if it does not influence the video stream. This leads to incorrect reasoning of the delay in particular in case of highly asymmetric delays, which are visible in the Internet [6]. For video stream transmission, only the one-way delay from the source to the destination is relevant, but difficult to measure.…”

Section: B Discussion Of the Solution Spacementioning

confidence: 98%

“…Even though these services operate over HTTP/TCP and adaptations compete with TCP flow control, their work yields fundamental insights into the problems which conunon video applications face when they have to compete with side-traffic. 6) Open issues: In previous work, we presented a prelim inary implementation of a sender-sided congestion detection [24], which is elaborated and enhanced in the present paper. To the best of our knowledge, there is no generic sender-sided traffic adaptation scheme nor a detailed analysis comparing sender-sided, receiver-sided, and hybrid approaches.…”

Section: )mentioning

confidence: 98%

See 1 more Smart Citation

How dia-shows turn into video flows: Adapting scalable video communication to heterogeneous network conditions in real-time

Jäger

Schmidt

Wählisch

2014

39th Annual IEEE Conference on Local Computer Networks

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Video conferencing over IP (VCoIP) is a major trend in current Internet communication and has particularly spread to the mobile realm. In this environment, users face the problem of heterogeneous and fluctuating network conditions. A promising solution to this issue is the scalable video coding (SVC).It allows an adaptation of the video stream to the available band width, but requires a reliable bandwidth estimation. Adaptation times for conversational video at fluctuating network conditions are critical, and a fast strategy for bandwidth estimation is needed to avoid congestion. In this work, we analyse the capabilities of the sender and the receiver to adapt the video coding to changing network conditions. We derive an early congestion indicator at the sender side based on the jitter variation. For receivers, we use sustained good put to extract a feasible scaling. In thorough evaluations that include real-world 3G networks, we reveal a faster congestion detection at the sender that are also more robust but less accurate than probing at the receiver.

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Section: B Discussion Of the Solution Spacementioning

confidence: 98%

Section: )mentioning

confidence: 98%

How dia-shows turn into video flows: Adapting scalable video communication to heterogeneous network conditions in real-time

Jäger

Schmidt

Wählisch

2014

39th Annual IEEE Conference on Local Computer Networks

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show abstract

“…The sizes are set to fixed values to allow for a more distinctive analysis of the later results, but other size distribution are possible as well. Peers in the simulation communicate over a TCPIIP network with a distance-based delay model developed by Kaune et al [19]. The bandwidth of peers is modeled based on the OECD broadband report [27], with each peer being connected via an asymmetric DSL line with an upload bandwidth of 2 253 kbitls and a download bandwidth of 15 326 kbitls.…”

Section: Discussionmentioning

confidence: 99%

GeoSwarm: A multi-source download scheme for peer-to-peer location-based services

Groß

Richerzhagen

Stingl

et al. 2013

IEEE P2P 2013 Proceedings

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Existing peer-to-peer (p2p) overlays for location based services sufTer from two major drawbacks: (i) they do not store data persistently under peer churn and (ii) they do not allow for the fast retrieval of large files, especially under asymmetric link conditions. This tremendously limits the use of current and future p2p location-based services as users are not able to share larger files such as high resolution pictures or video snippets. To overcome these two problems, we present GeoSwarm: a reliable multi-source download scheme for p2p location-based services. GeoSwarm combines the strengths of a BitTorrent-like download scheme with the locality awareness of an overlay for location-based search and its built-in replication mechanism. Thereby, a robust and fast download as well as a reliable storage of location-related multimedia content is achieved. Through extensive evaluation, we show that 95% of all downloads in GeoSwarm are carried out successfully even under churn, while downloads benefit from a 100% increased throughput in comparison to traditional single-source downloads.

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“…For generating a certain dynamic in the system, the churn model in [24] is used, which is partially based on measurements conduced by Steiner et al [31]. For determining the delay between peers, the distance-based method proposed in [16] is used. Table I also shows the different values for the varied system parameters.…”

Section: A System Parameter Analysismentioning

confidence: 99%

Geodemlia: A robust peer-to-peer overlay supporting location-based search

Groß

Stingl

Richerzhagen

et al. 2012

2012 IEEE 12th International Conference on Peer-to-Peer Computing (P2P)

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Existing peer-to-peer overlay approaches for location-based search have proven to be a valid alternative to client-server-based schemes. One of the key issues of the peerto-peer approach is the high churn rate caused by joining and leaving peers. To address this problem, this paper proposes a new location-aware peer-to-peer overlay termed Geodemlia to achieve a robust and efficient location-based search. To evaluate Geodemlia, a real world workload model for peer-to-peer location-based services is derived from traces of Twitter. Using the workload model, a system parameter analysis of Geodemlia is conducted with the goal of finding a suitable parameter configuration. In addition, the scalability and robustness of Geodemlia is compared to a state-of-the-art tree-based approach by investigating the performance and costs of both overlays under an increasing number of peers, an increasing radius of area searches, an increasing level of churn as well as for different peer placement and search request schemes. The evaluation results reveal that in contrast to the tree-based approach, Geodemlia provides on average a 46% better success ratio as well as a 18% better recall at a moderate higher traffic overhead of 13 bytes/s and an increased average response time of 0.2 s.

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Modeling the Internet Delay Space and its Application in Large Scale P2P Simulations

Cited by 4 publications

References 135 publications

How dia-shows turn into video flows: Adapting scalable video communication to heterogeneous network conditions in real-time

How dia-shows turn into video flows: Adapting scalable video communication to heterogeneous network conditions in real-time

GeoSwarm: A multi-source download scheme for peer-to-peer location-based services

Geodemlia: A robust peer-to-peer overlay supporting location-based search

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