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Is there a case for mobile phone content pre-staging?

Published: 09 December 2013 Publication History

Abstract

Content caching is a fundamental building block of the Internet. Caches are widely deployed at network edges to improve performance for end-users, and to reduce load on web servers and the backbone network. Considering mobile 3G/4G networks, however, the bottleneck is at the access link, where bandwidth is shared among all mobile terminals. As such, per-user capacity cannot grow to cope with the traffic demand. Unfortunately, caching policies would not reduce the load on the wireless link which would have to carry multiple copies of the same object that is being downloaded by multiple mobile terminals sharing the same access link.
In this paper we investigate if it is worth to push the caching paradigm even farther. We hypothesize a system in which mobile terminals implement a local cache, where popular content can be pushed/pre-staged. This exploits the peculiar broadcast capability of the wireless channels to replicate content "for free" on all terminals, saving the cost of transmitting multiple copies of those popular objects. Relying on a large data set collected from a European mobile carrier, we analyse the content popularity characteristics of mobile traffic, and quantify the benefit that the push-to-mobile system would produce. We found that content pre-staging, by proactively and periodically broadcasting "bundles" of popular objects to devices, allows to both greatly i) improve users' performance and ii) reduce up to 20% (40%) the downloaded volume (number of requests) in optimistic scenarios with a bundle of 100 MB. However, some technical constraints and content characteristics could question the actual gain such system would reach in practice.

References

[1]
E. Nygren, R. K. Sitaraman, and J. Sun. The akamai network: a platform for high-performance internet applications. SIGOPS Oper. Syst. Rev., 44(3):2--19, August 2010.
[2]
J. Erman, A. Gerber, M. Hajiaghayi, Dan Pei, S. Sen, and O. Spatscheck. To cache or not to cache: The 3g case. Internet Computing, IEEE, 15(2):27--34, 2011.
[3]
B. D. Higgins, J. Flinn, T. J. Giuli, B. Noble, C. Peplin, and D. Watson. Informed mobile prefetching. ACM MobiSys '12.
[4]
S. Traverso, K. Huguenin, I. Trestian, V. Erramilli, N. Laoutaris, and K. Papagiannaki. Tailgate: handling long-tail content with a little help from friends. ACM WWW '12.
[5]
X. Bao, M. Gowda, R. Mahajan, and R. R. Choudhury. The case for psychological computing. ACM HotMobile '13.
[6]
CES 2013: Verizon Eyes Broadcast Over LTE for Super Bowl 2014. http://goo.gl/vPfVxX.
[7]
F. Qian, K. S. Quah, J. Huang, J. Erman, A. Gerber, Z. Mao, S. Sen, and O. Spatscheck. Web caching on smartphones: ideal vs. reality. ACM MobiSys '12.
[8]
RFC 2616 - Hypertext Transfer Protocol - HTTP/1.1. http://www.w3.org/Protocols/rfc2616/rfc2616-sec13.html.
[9]
A. Aucinas, N. Vallina-Rodriguez, Y. Grunenberger, V. Erramilli, K. Papagiannaki, J. Crowcroft, and J. Wetherall. Staying online while mobile: The hidden costs. ACM CoNEXT '13.

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  • (2023)rePurpose: A Case for Versatile Network MeasurementICC 2023 - IEEE International Conference on Communications10.1109/ICC45041.2023.10279020(2357-2363)Online publication date: 28-May-2023
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    cover image ACM Conferences
    CoNEXT '13: Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
    December 2013
    454 pages
    ISBN:9781450321013
    DOI:10.1145/2535372
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 09 December 2013

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    Author Tags

    1. content pre-staging
    2. mobile networks

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    CoNEXT '13
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    CoNEXT '13: Conference on emerging Networking Experiments and Technologies
    December 9 - 12, 2013
    California, Santa Barbara, USA

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    CoNEXT '13 Paper Acceptance Rate 44 of 226 submissions, 19%;
    Overall Acceptance Rate 198 of 789 submissions, 25%

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    Cited By

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    • (2024)Optimization of mobility sampling in dynamic networks using predictive wavelet analysisPervasive and Mobile Computing10.1016/j.pmcj.2024.10188798(101887)Online publication date: Feb-2024
    • (2023)On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban NetworksIEEE Systems Journal10.1109/JSYST.2022.318664017:1(696-707)Online publication date: Mar-2023
    • (2023)rePurpose: A Case for Versatile Network MeasurementICC 2023 - IEEE International Conference on Communications10.1109/ICC45041.2023.10279020(2357-2363)Online publication date: 28-May-2023
    • (2023)DuctiLoc: Energy-Efficient Location Sampling With Configurable AccuracyIEEE Access10.1109/ACCESS.2023.324373111(15375-15389)Online publication date: 2023
    • (2022)An Innovative Dynamic Mobility Sampling Scheme Based on Multiresolution Wavelet Analysis in IoT NetworksIEEE Internet of Things Journal10.1109/JIOT.2021.31265509:13(11336-11350)Online publication date: 1-Jul-2022
    • (2020)Predictive caching at the wireless edge using near-zero cachesProceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3397166.3409126(121-130)Online publication date: 11-Oct-2020
    • (2019)Device-to-Device Communications Enabled Multicast Scheduling for mmWave Small Cells Using Multi-Level CodebooksIEEE Transactions on Vehicular Technology10.1109/TVT.2018.288364168:3(2724-2738)Online publication date: Mar-2019
    • (2019)Mobile Ad Prefetching and Energy Optimization via Tail Energy AccountingIEEE Transactions on Mobile Computing10.1109/TMC.2018.287359618:9(2117-2128)Online publication date: 1-Sep-2019
    • (2019)uStash: A Novel Mobile Content Delivery System for Improving User QoE in Public TransportIEEE Transactions on Mobile Computing10.1109/TMC.2018.285931818:6(1447-1460)Online publication date: 1-Jun-2019
    • (2019)An Efficient Content Delivery System for 5G CRAN Employing Realistic Human MobilityIEEE Transactions on Mobile Computing10.1109/TMC.2018.285262318:4(742-756)Online publication date: 1-Apr-2019
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