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Traffic Measurement on the Internet presents several novel online measurement methods that are compact and fast. Traffic measurement provides critical real-world data for service providers and network administrations to perform capacity planning, accounting and billing, anomaly detection, and service provision. Statistical methods play important roles in many measurement functions including: system designing, model building, formula deriving, and error analyzing. One of the greatest challenges in designing an online measurement function is to minimize the per-packet processing time in order to keep up with the line speed of the modern routers. This book also introduces a challenging problem – the measurement of per-flow information in high-speed networks, as well as, the solution. The last chapter discusses origin-destination flow measurement.
This book constitutes the proceedings of the 4th International Workshop on Traffic Monitoring and Analysis, TMA 2012, held in Vienna, Austria, in March 2012. The thoroughly refereed 10 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 31 submissions. The contributions are organized in topical sections on traffic analysis and characterization: new results and improved measurement techniques; measurement for QoS, security and service level agreements; and tools for network measurement and experimentation.
This report presents findings of a workshop featuring representatives of Internet Service Providers and others with access to data and insights about how the Internet performed on and immediately after the September 11 attacks. People who design and operate networks were asked to share data and their own preliminary analyses among participants in a closed workshop. They and networking researchers evaluated these inputs to synthesize lessons learned and derive suggestions for improvements in technology, procedures, and, as appropriate, policy.
This book presents several compact and fast methods for online traffic measurement of big network data. It describes challenges of online traffic measurement, discusses the state of the field, and provides an overview of the potential solutions to major problems. The authors introduce the problem of per-flow size measurement for big network data and present a fast and scalable counter architecture, called Counter Tree, which leverages a two-dimensional counter sharing scheme to achieve far better memory efficiency and significantly extend estimation range. Unlike traditional approaches to cardinality estimation problems that allocate a separated data structure (called estimator) for each flow, this book takes a different design path by viewing all the flows together as a whole: each flow is allocated with a virtual estimator, and these virtual estimators share a common memory space. A framework of virtual estimators is designed to apply the idea of sharing to an array of cardinality estimation solutions, achieving far better memory efficiency than the best existing work. To conclude, the authors discuss persistent spread estimation in high-speed networks. They offer a compact data structure called multi-virtual bitmap, which can estimate the cardinality of the intersection of an arbitrary number of sets. Using multi-virtual bitmaps, an implementation that can deliver high estimation accuracy under a very tight memory space is presented. The results of these experiments will surprise both professionals in the field and advanced-level students interested in the topic. By providing both an overview and the results of specific experiments, this book is useful for those new to online traffic measurement and experts on the topic.
This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.
Web Protocols and Practice: HTTP/1.1, Networking Protocols, Caching, and Traffic Measurement is an all-in-one reference to the core technologies underlying the World Wide Web. The book provides an authoritative and in-depth look at the systems and protocols responsible for the transfer of content across the Web. The HyperText Transfer Protocol (HTTP) is responsible for nearly three-quarters of the traffic on todays Internet. This books extensive treatment of HTTP/1.1 and its interaction with other network protocols make it an indispensable resource for both practitioners and students. Providing both the evolution and complete details of the basic building blocks of the Web, Web Protocols and Practice begins with an overview of Web software components and follows up with a description of the suite of protocols that form the semantic core of how content is delivered on the Web. The book later examines Web measurement and workload characterization and presents a cutting-edge report on Web caching and multimedia streaming. It concludes with a discussion on research perspectives that highlight topics that may affect the future evolution of the Web. Numerous examples and case studies thr
This book constitutes the proceedings of the 23rd International Conference on Passive and Active Measurement, PAM 2022, held in March 2022. Due to COVID-19 pandemic, the conference was held virtually. The 15 full papers and 15 short papers presented in this volume were carefully reviewed and selected from 62 submissions. The papers present emerging and early-stage research in network measurements – work that seeks to better understand complex, real-world networked systems and offer critical empirical foundations and support to network research.