Ecole d'ingénieur et centre de recherche en Sciences du numérique

Analyzing cacheable traffic for FTTH users using Hadoop

Imbrenda, Claudio; Li, Wuyang; Muscariello , Luca

ICN 2015, 2nd International ACM Conference on Information-Centric Networking, September 30-October 2, 2015, San Fransisco, USA

We present this year (2015) statistics about cacheable traffic in the access network of Orange in Paris for about 30,000 customers served by a fiber to the home subscription. These statistics update some of the results presented in a recent work, which considered only 2 000 fiber users in 2014. The huge amount of data to be processed in the new vantage point made necessary the usage of a hadoop cluster that we have used to process the data and report new statistics in the present paper. The aggregation level at which we observe web traffic allows to draw some conclusions about the feasibility of implementing in-network caching at wire speed.

Document Doi Bibtex

Titre:Analyzing cacheable traffic for FTTH users using Hadoop
Mots Clés:Network Traffic Measurements; Caching; Big Data
Type:Poster / Demo
Langue:English
Ville:San Fransisco
Pays:ÉTATS-UNIS
Date:
Département:Sécurité numérique
Eurecom ref:4715
Copyright: © ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ICN 2015, 2nd International ACM Conference on Information-Centric Networking, September 30-October 2, 2015, San Fransisco, USA http://dx.doi.org/10.1145/2810156.2812602
Bibtex: @poster / demo{EURECOM+4715, year = {2015}, title = {{A}nalyzing cacheable traffic for {FTTH} users using {H}adoop}, author = {{I}mbrenda, {C}laudio and {L}i, {W}uyang and {M}uscariello , {L}uca}, number = {EURECOM+4715}, month = {09}, institution = {Eurecom} address = {{S}an {F}ransisco, {\'{E}}{TATS}-{UNIS}}, url = {http://www.eurecom.fr/publication/4715} }