<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ignacio Nicolas Bermudez</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author><author><style face="normal" font="default" size="100%">Maurizio M Munafo'</style></author><author><style face="normal" font="default" size="100%">Ram Keralapura</style></author><author><style face="normal" font="default" size="100%">Antonio Nucci</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">DNS to the rescue: Discerning Content and Services in a Tangled Web</style></title><secondary-title><style face="normal" font="default" size="100%">Internet Measurement Conference 2012</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">DNS</style></keyword><keyword><style  face="normal" font="default" size="100%">mPlane</style></keyword><keyword><style  face="normal" font="default" size="100%">passive measurement</style></keyword><keyword><style  face="normal" font="default" size="100%">WP2</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dl.acm.org/citation.cfm?id=2398776.2398819&amp;coll=DL&amp;dl=GUIDE&amp;CFID=225051145&amp;CFTOKEN=42401286</style></url></web-urls></urls><edition><style face="normal" font="default" size="100%">ACM</style></edition><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pub-location><style face="normal" font="default" size="100%">Boston, MA</style></pub-location><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">413-426</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4503-1705-4</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;page&quot; title=&quot;Page 1&quot;&gt;&lt;div class=&quot;layoutArea&quot;&gt;&lt;div class=&quot;column&quot;&gt;&lt;p&gt;&lt;span&gt;A careful perusal of the Internet evolution reveals two major trends - explosion of cloud-based services and video stream- ing applications. In both of the above cases, the owner (e.g., CNN, YouTube, or Zynga) of the content and the organiza- tion serving it (e.g., Akamai, Limelight, or Amazon EC2) are decoupled, thus making it harder to understand the associ- ation between the content, owner, and the host where the content resides. This has created a tangled world wide web that is very hard to unwind, impairing ISPs’ and network administrators’ capabilities to control the traffic flowing in their networks. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;In this paper, we present DN-Hunter, a system that lever- ages the information provided by DNS traffic to discern the tangle. Parsing through DNS queries, DN-Hunter tags traf- fic flows with the associated domain name. This association has several applications and reveals a large amount of use- ful information: (&lt;/span&gt;&lt;span&gt;i&lt;/span&gt;&lt;span&gt;) Provides a fine-grained traffic visibility even when the traffic is encrypted (i.e., TLS/SSL flows), thus enabling more effective policy controls, (&lt;/span&gt;&lt;span&gt;ii&lt;/span&gt;&lt;span&gt;) Identifies flows even before the flows begin, thus providing superior net- work management capabilities to administrators, (&lt;/span&gt;&lt;span&gt;iii&lt;/span&gt;&lt;span&gt;) Un- derstand and track (over time) different CDNs and cloud providers that host content for a particular resource, (&lt;/span&gt;&lt;span&gt;iv&lt;/span&gt;&lt;span&gt;) Discern all the services/content hosted by a given CDN or cloud provider in a particular geography and time interval, and (&lt;/span&gt;&lt;span&gt;v&lt;/span&gt;&lt;span&gt;) Provides insights into all applications/services run- ning on any given layer-4 port number. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;We conduct extensive experimental analysis and show re- sults from real traffic traces (including FTTH and 4G ISPs) that support our hypothesis. Simply put, the information provided by DNS traffic is one of the key components re- quired for understanding the tangled web, and bringing the ability to effectively manage network traffic back to the op- erators.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</style></abstract><num-vols><style face="normal" font="default" size="100%">1</style></num-vols></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Idilio Drago</style></author><author><style face="normal" font="default" size="100%">Marco Mellia</style></author><author><style face="normal" font="default" size="100%">Maurizio M Munafo'</style></author><author><style face="normal" font="default" size="100%">Anna Sperotto</style></author><author><style face="normal" font="default" size="100%">Ramin Sadre</style></author><author><style face="normal" font="default" size="100%">Aiko Pras</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Inside Dropbox: Understanding Personal Cloud Storage Services</style></title><secondary-title><style face="normal" font="default" size="100%">Internet Measurement Conference - IMC</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Dropbox</style></keyword><keyword><style  face="normal" font="default" size="100%">passive measurement</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dl.acm.org/citation.cfm?id=2398776.2398827&amp;coll=DL&amp;dl=GUIDE&amp;CFID=225051145&amp;CFTOKEN=42401286</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pub-location><style face="normal" font="default" size="100%">Boston, MA</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;div class=&quot;page&quot; title=&quot;Page 1&quot;&gt;&lt;div class=&quot;layoutArea&quot;&gt;&lt;div class=&quot;column&quot;&gt;&lt;p&gt;&lt;span&gt;Personal cloud storage services are gaining popularity. With a rush of providers to enter the market and an increasing of- fer of cheap storage space, it is to be expected that cloud storage will soon generate a high amount of Internet traffic. Very little is known about the architecture and the perfor- mance of such systems, and the workload they have to face. This understanding is essential for designing efficient cloud storage systems and predicting their impact on the network. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;This paper presents a characterization of Dropbox, the leading solution in personal cloud storage in our datasets. By means of passive measurements, we analyze data from four vantage points in Europe, collected during 42 consecu- tive days. Our contributions are threefold: Firstly, we are the first to study Dropbox, which we show to be the most widely-used cloud storage system, already accounting for a volume equivalent to around one third of the YouTube traffic at campus networks on some days. Secondly, we character- ize the workload users in different environments generate to the system, highlighting how this reflects on network traf- fic. Lastly, our results show possible performance bottle- necks caused by both the current system architecture and the storage protocol. This is exacerbated for users connected far from storage data-centers. &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;All measurements used in our analyses are publicly avail- able in anonymized form at the SimpleWeb trace repository: &lt;/span&gt;&lt;span&gt;&lt;a href=&quot;http://traces.simpleweb.org/dropbox/&quot; title=&quot;Linkification: http://traces.simpleweb.org/dropbox/&quot; class=&quot;linkification-ext&quot; style=&quot;color: #006620;&quot;&gt;http://traces.simpleweb.org/dropbox/&lt;/a&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;</style></abstract></record></records></xml>