<style face="normal" font="default" size="100%">Unveiling Network and Service Performance Degradation in the Wild with mPlane</style>

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17

<style face="normal" font="default" size="100%">Unveiling Network and Service Performance Degradation in the Wild with mPlane</style>

Drupal-Biblio

47

<style face="normal" font="default" size="100%">On the Analysis of QoE in Cellular Networks: from Subjective Tests to Large-scale Traffic Measurements</style>

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47

<style face="normal" font="default" size="100%">Cache Oblivious Scheduling of Shared Workloads</style>

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47

<style face="normal" font="default" size="100%">Challenging Entropy-based Anomaly Detection and Diagnosis in Cellular Networks</style>

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27

<style face="normal" font="default" size="100%">Demonstration Plan</style>

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47

<style face="normal" font="default" size="100%">Exploring QoE in Cellular Networks: How Much Bandwidth do you Need for Popular Smartphone Apps?</style>

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47

<style face="normal" font="default" size="100%">On the Monitoring of YouTube QoE in Cellular Networks from End-devices</style>

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47

<style face="normal" font="default" size="100%">MTRAC - Discovering M2M Devices in Cellular Networks from Coarse-grained Measurements</style>

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47

<style face="normal" font="default" size="100%">QoMOSN - On the Analysis of Traffic and Quality of Experience in Mobile Online Social Networks</style>

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47

<style face="normal" font="default" size="100%">RCATool - A Framework for Detecting and Diagnosing Anomalies in Cellular Networks</style>

Drupal-Biblio

47

<style face="normal" font="default" size="100%">Towards Automatic Detection and Diagnosis of Internet Service Anomalies via DNS Traffic Analysis</style>

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47

<style face="normal" font="default" size="100%">Towards DisNETPerf: a Distributed Internet Paths Performance Analyzer</style>

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47

<style face="normal" font="default" size="100%">Understanding YouTube QoE in Cellular Networks with YoMoApp - a QoE Monitoring Tool for YouTube Mobile</style>

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47

<style face="normal" font="default" size="100%">YoMoApp: a Tool for Analyzing QoE of YouTube HTTP Adaptive Streaming in Mobile Networks</style>

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47

<style face="normal" font="default" size="100%">YouTube QoE on Mobile Devices: Subjective Analysis of Classical vs. Adaptive Video Streaming</style>

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27

<style face="normal" font="default" size="100%">Algorithm and Scheduler Design and Implementation</style>

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47

<style face="normal" font="default" size="100%">On the Analysis of QoE-based Performance Degradation in YouTube Traffic</style>

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47

<style face="normal" font="default" size="100%">Characterizing Microsoft Lync Online in Mobile Networks: a Quality of Experience Perspective</style>

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47

<style face="normal" font="default" size="100%">Characterizing Web Services Provisioning via CDNs: The Case of Facebook</style>

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27

<style face="normal" font="default" size="100%"> Cross-check of Analysis Modules and Reasoner Interactions</style>

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47

<style face="normal" font="default" size="100%">DBStream: an Online Aggregation, Filtering and Processing System for Network Trafﬁc Monitoring</style>

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27

<style face="normal" font="default" size="100%">Design of the Reasoner</style>

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47

<style face="normal" font="default" size="100%">On the Detection of Network Traffic Anomalies in Content Delivery Network Services</style>

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47

<style face="normal" font="default" size="100%">Large-Scale Network Traffic Monitoring with DBStream, a System for Rolling Big Data Analysis</style>

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17

<style face="normal" font="default" size="100%">mPlane: an Intelligent Measurement Plane for the Internet</style>

Drupal-Biblio

47

<style face="normal" font="default" size="100%">Understanding HTTP Traffic and CDN Behavior from the Eyes of a Mobile ISP</style>

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47

<style face="normal" font="default" size="100%">Vivisecting WhatsApp through Large-Scale Measurements in Mobile Networks</style>

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47

<style face="normal" font="default" size="100%">Who to Blame when YouTube is not Working? Detecting Anomalies in CDN Provisioned Services</style>

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47

<style face="normal" font="default" size="100%">YouTube All Around: Characterizing YouTube from Mobile and Fixed-line Network Vantage Points</style>

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47

<style face="normal" font="default" size="100%">YouTube in the Move: Understanding the Performance of YouTube in Cellular Networks (BEST PAPER AWARD RUNNER UP)</style>

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27

<style face="normal" font="default" size="100%">Basic Network Data Analysis</style>

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27

<style face="normal" font="default" size="100%">Database Layer Design</style>

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27

<style face="normal" font="default" size="100%">Design of Analysis Modules</style>

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47

<style face="normal" font="default" size="100%">HTTPTag: A Flexible On-line HTTP Classification System for Operational 3G Networks</style>

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47

<style face="normal" font="default" size="100%">IP Mining: Extracting Knowledge from the Dynamics of the Internet Addressing Space (BEST PAPER AWARD)</style>

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47

<style face="normal" font="default" size="100%">Mini-IPC: A Minimalist Approach for HTTP Traffic Classification using IP Addresses</style>

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27

<style face="normal" font="default" size="100%">Plans for Using and Disseminating mPlane Knowledge</style>

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27

<style face="normal" font="default" size="100%">Use Case Elaboration and Requirements Specification</style>

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47

<style face="normal" font="default" size="100%">YOUQMON: A System for On-line Monitoring of YouTube QoE in Operational 3G Networks</style>