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The DNS protocol has proved to be a valuable means for identifying and dissecting large-scale anomalies in omnipresent Over The Top (OTT) Internet services. In this paper, we present and evaluate a framework for detecting and diagnosing traffic anomalies via DNS traffic analysis. Detection of such anomalies is achieved by monitoring different DNS-related symptomatic features, flagging a warning as...
YouTube is the most popular service in the Internet and is increasingly consumed on mobile devices. With emerging adaptive video streaming technology, the question arises whether it should be also employed in the mobile context, which shows different characteristics in terms of display sizes and reliability of Internet connection. This paper compares YouTube QoE on mobile devices for both classical...
Mobile devices such as smartphones are taking over traditional devices for Internet access in today's scenario, and the near future forecast is overwhelming: by 2016, a quarter of the world population will be using smartphones to access the Internet. In this context, understanding the Quality of Experience (QoE) of popular services in mobile devices becomes paramount for cellular network operators,...
Machine-to-Machine (M2M) network traffic is becoming highly relevant in nowadays cellular networks. The ever-increasing number of M2M devices is heavily modifying the traffic patterns observed in cellular networks, and the interest in discovering and tracking these devices is rapidly growing among operators. In this paper we introduce MTRAC, a complete approach for M2M TRAffic Classification, capable...
The popularity of Online Social Networks (OSNs) has created an immense amount of research for the analysis of these networks and the traffic produced by popular applications such as Facebook. In this paper we study the networking characteristics of OSNs in mobile networks, analyzing the most popular OSNs in western countries: Facebook and WhatsApp. By analyzing two large-scale traffic traces collected...
The performance of YouTube in mobile networks is crucial to network operators, who try to find a trade-off between cost-efficient handling of the huge traffic amounts and high perceived end-user Quality of Experience (QoE). This paper introduces YoMoApp (YouTube Performance Monitoring Application), an Android application, which passively monitors key performance indicators (KPIs) of YouTube adaptive...
Downlink throughput is the most widely used and accepted Quality of Service (QoS) related feature within the networking community, specially in the operational field. Current quality monitoring and reporting systems as well as quality benchmarking campaigns use the Average Downlink Throughput (ADT) as metric to assess the performance of the network. For example, flow-based monitoring systems normally...
Online Social Networks (OSNs) have rapidly become an integral part of our daily lives, and hundreds of millions of people are nowadays remotely connected trough popular OSNs such as Facebook, Google+, Twitter and WhatsApp. While much has been said and studied about the social aspects of OSNs, little is known about the network side of OSNs, specially regarding their network and traffic footprints,...
The systematic investigation of network bandwidth fluctuations and their impact on Quality of Experience (QoE) has recently gained center stage, not only in academia but also among network providers. This development is driven by the fact that in a real world usage scenario, volatile network performance (and thus varying QoE) actually is the norm, particularly in mobile contexts. However, we are still...
Shared workload optimization is feasible if the set of tasks to be executed is known in advance, as is the case in updating a set of materialized views or executing an extract-transform-load workflow. In this paper, we consider data-intensive workloads with precedence constraints arising from data dependencies. While there has been previous work on identifying common subexpressions and task re-ordering...
YouTube is the most popular service in today's Internet. Google relies on its massive Content Delivery Network (CDN) to push YouTube videos as close as possible to the end-users to improve their Quality of Experience (QoE), using dynamic server selection strategies. Such traffic delivery policies can have a relevant impact on the traffic routed through the Internet Service Providers (ISPs) providing...
YouTube is the most popular and volume-dominant service in today's Internet, and is changing the way ISPs manage their networks. Understanding the performance of YouTube traffic is paramount for ISPs, specially for mobile operators, who must handle the huge surge of traffic with the constraints and challenges of cellular networks. In this paper we present an empirical analysis of the performance of...
Cloud-based systems are gaining enormous popularity due to a number of promised benefits, including ease of deployment and administration, scalability and flexibility, and costs savings. However, as more personal and business applications migrate to the Cloud, the service quality becomes an important differentiator between providers. ISPs, Cloud providers and enterprises migrating their services to...
The complexity of the Internet has rapidly increased, making it more important and challenging to design scalable network monitoring tools. Network monitoring typically requires rolling data analysis, i.e., continuously and incrementally updating (rolling-over) various reports and statistics over highvolume data streams. In this paper, we describe DBStream, which is an SQL-based system that explicitly...
Today's Internet traffic is largely dominated by major content providers and highly distributed Content Delivery Networks (CDNs). Internet-scale applications like Facebook and YouTube are served by large CDNs like Akamai and Google CDN, which push content as close to end-users as possible to improve the overall performance of the applications, minimize the effects of peering point congestion and enhance...
Network traffic monitoring systems generate high volumes of heterogeneous data streams which have to be processed and analyzed with different time constraints for daily network management operations. Some monitoring applications such as anomaly detection, performance tracking and alerting require fast processing of specific incoming real-time data. Other applications like fault diagnosis and trend...
Internet-scale services like YouTube are provisioned by large Content Delivery Networks (CDNs), which push content as close as possible to the end-users to improve their Quality of Experience (QoE) and to pursue their own optimization goals. Adopting space and time variant traffic delivery policies, CDNs serve users' requests from multiple servers/caches at different physical locations and different...
Traditional Network Intrusion Detection Systems (NIDSs) rely on either specialized signatures of previously seen attacks, or on expensive and difficult to produce labeled traffic datasets for profiling and training. Both approaches share a common downside: they require the knowledge provided by an external agent, either in terms of signatures or as normal-operation profiles. In this paper we describe...
Today's Internet consists of massive scale web services and Content Delivery Networks (CDNs). This paper sheds light on the way major Internet-scale web services content is hosted and delivered. By analyzing a full month of HTTP traffic traces collected at the mobile network of a major European ISP, we characterize the paradigmatic case of Facebook, considering not only the traffic flows but also...
YouTube is the most popular service in today's Internet. Its own success forces Google to constantly evolve its functioning to cope with the ever growing number of users watching YouTube. Understanding the characteristics of YouTube's traffic as well as the way YouTube flows are served from the massive Google CDN is paramount for ISPs, specially for mobile operators, who must handle the huge surge...
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