Slicing home networks

Yiakoumis, Yiannis; Yap, Kok-Kiong; Parulkar, Guru; McKeown, Nick

doi:10.1145/2018567.2018569

Cited by 105 publications

(66 citation statements)

References 13 publications

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“…A fourth scenario is the one related with home networks (Sundaresan et al, 2011;Kumar, Gharakheili, & Sivaraman, 2013;Yiakoumis et al, 2011). An SDN-based broadband home connection can simplify the addition of new functions in measurement systems such as BISmark (Sundaresan et al, 2011), allowing the system to react to changing conditions in the home network (Kumar, Gharakheili, & Sivaraman, 2013).…”

Section: Home Networkmentioning

confidence: 99%

“…As an example, a home gateway can perform reactive traffic shaping, considering the current measurement results of the home network. Recent work has proposed slicing control of home networks, to allow different third-party service providers (e.g., smart grid operators) to deploy services on the network without having to install their own infrastructure (Yiakoumis et al, 2011).…”

Section: Home Networkmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Management and Efficient Operation of Big Data

Moura

Batista²,

Cardoso³

et al. 2015

Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence

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show abstract

Section: Home Networkmentioning

confidence: 99%

Section: Home Networkmentioning

confidence: 99%

Intelligent Management and Efficient Operation of Big Data

Moura

Batista²,

Cardoso³

et al. 2015

Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence

View full text Add to dashboard Cite

show abstract

“…The works closest to ours are those that virtualize the access [17] and home [31,30] networks. NANDO [17] allows multiple ISPs to share infrastructure, and consumers can choose the ISP on a per-service basis.…”

Section: Related Workmentioning

confidence: 99%

“…in Australia or Singapore), but it remains to be seen if private ISPs will be willing to share infrastructure with each other. In [31], the home network is sliced by the ISP amongst multiple content providers. With this approach the ISP cedes longterm control of the slice to the CP (it is however unclear what policies dictate the bandwidth sharing amongst the slices), which is different from our architecture in which the ISP only "leases" well-specified resources to the CP on a short-term per-flow basis.…”

Section: Related Workmentioning

confidence: 99%

Virtualizing the access network via open APIs

Sivaraman

Moors

Gharakheili

et al. 2013

Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies

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Residential broadband consumption is growing rapidly, increasing the gap between ISP costs and revenues. Meanwhile, proliferation of Internet-enabled devices is congesting access networks, frustrating end-users and content providers. We propose that ISPs virtualize access infrastructure, using open APIs supported through SDN, to enable dynamic and controlled sharing amongst user streams. Content providers can programmatically provision capacity to user devices to ensure quality of experience, users can match the degree of virtualization to their usage pattern, and ISPs can realize per-stream revenues by slicing their network resources. Using video streaming and bulk transfers as examples, we develop an architecture that specifies the interfaces between the ISP, content provider, and user. We propose an algorithm for optimally allocating network resources, leveraging bulk transfer time elasticity and access path space diversity. Simulations using real traces show that virtualization can reduce video degradation by over 50%, for little extra bulk transfer delay. Lastly, we prototype our system and validate it in a test-bed with real video streaming and file transfers. Our proposal is a first step towards the longterm goal of realizing open and agile access network service quality management that is acceptable to users, ISPs and content providers alike.

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“…To aid in troubleshooting and managing home networks, [18] proposes to build a home network data recorder system as a general-purpose logging platform to record what is happening in home networks. Many researches have also focused human computer interactions in home networks [2][3][4], troubleshooting and diagnosis [5,6], and broadband network sharing among different Internet service providers [19].…”

Section: Related Workmentioning

confidence: 99%

Characterizing Home Network Traffic: An Inside View

Wang

et al. 2012

Wireless Algorithms, Systems, and Applications

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Abstract. The rapid spread of residential broadband connections and Internet-capable consumer devices in home networks has changed the landscape of Internet traffic. To gain a deep understanding of Internet traffic for home networks, this paper develops a traffic monitoring platform that collects and analyzes home network traffic via programmable home routers and traffic profiling servers. Using traffic data captured from real home networks, we present traffic characteristics in home networks, and then apply principal component analysis to uncover temporal correlations among application ports. To the best of our knowledge, this paper is the first study to characterize network traffic of Internet-capable devices from inside home networks.

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Slicing home networks

Cited by 105 publications

References 13 publications

Intelligent Management and Efficient Operation of Big Data

Intelligent Management and Efficient Operation of Big Data

Virtualizing the access network via open APIs

Characterizing Home Network Traffic: An Inside View

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