Investigating Transparent Web Proxies in Cellular Networks

Xu, Xing; Jiang, Yurong; Flach, Tobias; Katz-Bassett, Ethan; Choffnes, David; Govindan, Ramesh

doi:10.1007/978-3-319-15509-8_20

Cited by 60 publications

(43 citation statements)

References 19 publications

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“…On the other hand, various HTTP proxy-based approaches break the end-to-end connection in order to enable web content pre-fetching, caching, offloading and compression to enhance user experiences [4]- [6]. Nevertheless, till now noticeable performance gains cannot always be achieved under different network conditions and web page characteristics [7], [8].…”

Section: Introductionmentioning

confidence: 99%

“…Current proxy-based techniques applied in mobile network environments share two common features [4]- [6]: (1) Splitting end-to-end connections between wireless and wired parts, and (2) Employing various network operations such as content prefetching and caching for mobile users. However, again these widely deployed proxies are unable to comprehensively achieve improvements according to different context conditions [5], [8], [13]. In addition, splitting of end-to-end connections encounters issues like unexpected timeout [14] or marginal improvement [8] in real mobile networks.…”

Section: Introductionmentioning

confidence: 99%

“…However, again these widely deployed proxies are unable to comprehensively achieve improvements according to different context conditions [5], [8], [13]. In addition, splitting of end-to-end connections encounters issues like unexpected timeout [14] or marginal improvement [8] in real mobile networks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enabling context-aware HTTP with mobile edge hint

Peng

Wang

Foster

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Abstract-Due to dynamic wireless network conditions and heterogeneous mobile web content complexities, web-based content services in mobile network environments always suffer from long loading time. The new HTTP/2.0 protocol only adopts one single TCP connection, but recent research reveals that in real mobile environments, web downloading using single connection will experience long idle time and low bandwidth utilization, in particular with dynamic network conditions and web page characteristics. In this paper, by leveraging the Mobile Edge Computing (MEC) technique, we present the framework of Mobile Edge Hint (MEH), in order to enhance mobile web downloading performances. Specifically, the mobile edge collects and caches the meta-data of frequently visited web pages and also keeps monitoring the network conditions. Upon receiving requests on these popular webpages, the MEC server is able to hint back to the HTTP/2.0 clients on the optimized number of TCP connections that should be established for downloading the content. From the test results on real LTE testbed equipped with MEH, we observed up to 34.5% time reduction and in the median case the improvement is 20.5% compared to the plain over-the-top (OTT) HTTP/2.0 protocol.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enabling context-aware HTTP with mobile edge hint

Peng

Wang

Foster

et al. 2017

2017 14th IEEE Annual Consumer Communications &Amp; Networking Conference (CCNC)

View full text Add to dashboard Cite

show abstract

“…Note that at least one implicit proxy on the path is already commonly deployed, e.g., in cellular networks [18,22]. In this case, the first proxy (likely close to the client), will perform a traditional 3-way handshake, while all the remaining proxies in the chain, if supporting the newly introduced TCP option, can use ESF.…”

Section: Miniproxy Implementationmentioning

confidence: 99%

On the Fly TCP Acceleration with Miniproxy

Siracusano

Bifulco

Kuenzer

et al. 2016

Proceedings of the 2016 Workshop on Hot Topics in Middleboxes and Network Function Virtualization

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TCP proxies are basic building blocks for many advanced middleboxes. In this paper we present Miniproxy, a TCP proxy built on top of a specialized minimalistic cloud operating system. Miniproxy's connection handling performance is comparable to that of full-fledged GNU/Linux TCP proxy implementations, but its minimalistic footprint enables new use cases. Specifically, Miniproxy requires as little as 6 MB to run and boots in tens of milliseconds, enabling massive consolidation, on-the-fly instantiation and edge cloud computing scenarios. We demonstrate the benefits of Miniproxy by implementing and evaluating a TCP acceleration use case.

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“…Instead, transparent proxies and middleboxes can be used [42]. In order to train these classiiers, the operator could use bufer emulations based on pilot experiments with a subset of clients (under their control) going through a trusted proxy (as done here) or through the use of an instrumented player, if available, for example.…”

Section: Classiication Framework Overviewmentioning

confidence: 99%

Buffest

Krishnamoorthi

Carlsson

Halepovic

et al. 2017

Proceedings of the 8th ACM on Multimedia Systems Conference

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Stalls during video playback are perhaps the most important indicator of a client's viewing experience. To provide the best possible service, a proactive network operator may therefore want to know the bufer conditions of streaming clients and use this information to help avoid stalls due to empty bufers. However, estimation of clients' bufer conditions is complicated by most streaming services being rate-adaptive, and many of them also encrypted. Rate adaptation reduces the correlation between network throughput and client bufer conditions. Usage of HTTPS prevents operators from observing information related to video chunk requests, such as indications of rate adaptation or other HTTP-level information.This paper presents BUFFEST, a novel classiication framework that can be used to classify and predict streaming clients' bufer conditions from both HTTP and HTTPS traic. To illustrate the tradeofs between prediction accuracy and the available information used by classiiers, we design and evaluate classiiers of diferent complexity. At the core of BUFFEST is an event-based bufer emulator module for detailed analysis of clients' bufer levels throughout a streaming session, as well as for automated training and evaluation of online packet-level classiiers. We then present example results using simple threshold-based classiiers and machine learning classiiers that only use TCP/IP packet-level information. Our results are encouraging and show that BUFFEST can distinguish streaming clients with low bufer conditions from clients with signiicant bufer margin during a session even when HTTPS is used.

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Investigating Transparent Web Proxies in Cellular Networks

Cited by 60 publications

References 19 publications

Enabling context-aware HTTP with mobile edge hint

Enabling context-aware HTTP with mobile edge hint

On the Fly TCP Acceleration with Miniproxy

Buffest

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