Hulu in the neighborhood

Han, Dongsu; Andersen, David G.; Kaminsky, Michael; Papagiannaki, Dina; Seshan, Srinivasan

doi:10.1109/comsnets.2011.5716501

Cited by 13 publications

(10 citation statements)

References 17 publications

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“…We provide a constructive proof below, calculating q d c that satisfy (12). If M d = 1, the lemma trivially holds for q (8d) and (8e), we have that ǫ > 0 and ǫc > 0.…”

Section: Appendixmentioning

confidence: 94%

“…Peer incentivization, e.g., through rebates or service fee reductions, has also been studied [8][9][10]. Moreover, the use of dedicated home devices as an extension of a CDN's infrastructure has been the model of at least one recent start-up [11] and has been the subject of several recent papers [5,12]. We build and extend upon these works by providing a formal framework for joint placement and routing optimization.…”

Section: Related Workmentioning

confidence: 98%

See 1 more Smart Citation

Orchestrating massively distributed CDNs

Jiang

Ioannidis

Massoulié

et al. 2012

Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies

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We consider a content delivery architecture based on geographically dispersed groups of "last-mile" CDN servers, e.g., set-top boxes located within users' homes. These servers may belong to administratively separate domains, such as multiple ISPs. We propose a set of scalable, adaptive mechanisms to jointly manage content replication and request routing within this architecture. Relying on primal-dual methods and fluid-limit techniques, we formally prove the optimality of our design. We further evaluate its performance on both synthetic and trace-driven simulations, based on real BitTorrent traces, and observe a reduction of network costs by more than 50% over traditional mechanisms such as LRU/LFU with closest request routing.

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“…We provide a constructive proof below, calculating q d c that satisfy (12). If M d = 1, the lemma trivially holds for q (8d) and (8e), we have that ǫ > 0 and ǫc > 0.…”

Section: Appendixmentioning

confidence: 94%

Section: Related Workmentioning

confidence: 98%

Orchestrating massively distributed CDNs

Jiang

Ioannidis

Massoulié

et al. 2012

Proceedings of the 8th International Conference on Emerging Networking Experiments and Technologies

View full text Add to dashboard Cite

show abstract

“…Han et al [4] assumed a neighbourhood model which is quite close to the CDWCN one, and showed how such local connectivity and storage can be exploited to reduce the traffic on the access network. Yet, the energy issue is out of the scope of their work.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, novel access infrastructures, such as Residential Community Networks (RCNs), are emerging as a sort of physical peer-to-peer paradigm that complements the content sharing one. In RCNs, the users build a (wireless) network among their home gateways in order to share the capabilities of the gateways and/or the contents hosted at each user's premises [3,4]. In this scenario, the problem of delivering multimedia content should embrace not only the Internet, as for current CDN approaches, but also the opportunities offered by the spontaneous RCN infrastructure [5].…”

Section: Introductionmentioning

confidence: 98%

The greening potential of content delivery in residential community networks

et al. 2014

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“…Content delivery networks: Large-(e.g., [29,35]) and medium-scale (e.g., [18,42]) CDN systems have explored various design choices, including peer-to-peer, hybrid [22,43], centralized, or hierarchical architectures [24] as well as their tradeoffs [45]. None of these papers provides the key combination of global coordination, video-specific optimization, cost-minimization, attention to live-video specific issues, and practical endto-end system design.…”

Section: Related Workmentioning

confidence: 99%

Practical, Real-time Centralized Control for CDN-based Live Video Delivery

Mukerjee

Naylor

Jiang

et al. 2015

Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

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Live video delivery is expected to reach a peak of 50 Tbps this year [7]. This surging popularity is fundamentally changing the Internet video delivery landscape. CDNs must meet users' demands for fast join times, high bitrates, and low buffering ratios, while minimizing their own cost of delivery and responding to issues in real-time. Wide-area latency, loss, and failures, as well as varied workloads ("mega-events" to long-tail), make meeting these demands challenging. An analysis of video sessions [32] concluded that a centralized controller could improve user experience, but CDN systems have shied away from such designs due to the difficulty of quickly handling failures [29], a requirement of both operators and users. We introduce VDN, a practical approach to a video delivery network that uses a centralized algorithm for live video optimization. VDN provides CDN operators with real-time, fine-grained control. It does this in spite of challenges resulting from the wide-area (e.g., state inconsistency, partitions, failures) by using a hybrid centralized+distributed control plane, increasing average bitrate by 1.7× and decreasing cost by 2× in different scenarios.

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Hulu in the neighborhood

Cited by 13 publications

References 17 publications

Orchestrating massively distributed CDNs

Orchestrating massively distributed CDNs

The greening potential of content delivery in residential community networks

Practical, Real-time Centralized Control for CDN-based Live Video Delivery

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