Traffic Measurement For Big Network Data

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Traffic Measurement For Big Network Data

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Author : Shigang Chen
language : en
Publisher: Springer
Release Date : 2016-11-01

Traffic Measurement For Big Network Data written by Shigang Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-01 with Technology & Engineering categories.

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.

Web And Big Data

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Author : Wenjie Zhang
language : en
Publisher: Springer Nature
Release Date : 2024-08-27

Web And Big Data written by Wenjie Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Volume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.

Networking For Big Data

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Author : Shui Yu
language : en
Publisher: CRC Press
Release Date : 2015-07-28

Networking For Big Data written by Shui Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-28 with Computers categories.

Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications.The book is divided into four sections: introduction to Big Data,

Eccws 2018 17th European Conference On Cyber Warfare And Security V2

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Author : Audun Jøsang
language : en
Publisher: Academic Conferences and publishing limited
Release Date : 2018-06-21

Eccws 2018 17th European Conference On Cyber Warfare And Security V2 written by Audun Jøsang and has been published by Academic Conferences and publishing limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-21 with Computers categories.

Proceedings Of The 4th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1

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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2023-07-04

Proceedings Of The 4th International Conference On Big Data Analytics For Cyber Physical System In Smart City Volume 1 written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-04 with Technology & Engineering categories.

This book gathers a selection of peer-reviewed papers presented at the 4th Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2022) conference, held in Bangkok, Thailand, on December 16–17. The contributions, prepared by an international team of scientists and engineers, cover the latest advances and challenges made in the field of big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Tools For Design Implementation And Verification Of Emerging Information Technologies

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Author : Yu Weng
language : en
Publisher: Springer Nature
Release Date : 2021-05-21

Tools For Design Implementation And Verification Of Emerging Information Technologies written by Yu Weng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-21 with Computers categories.

This book constitutes the refereed post-conference proceedings of the 15th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2020. Due to COVID 19 pandemic the conference was held virtually. The 12 full papers were selected from 32 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on computer network and testbed application as well as analytics for big data of images and test.

Design Measurement And Management Of Large Scale Ip Networks

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Author : Antonio Nucci
language : en
Publisher: Cambridge University Press
Release Date : 2009

Design Measurement And Management Of Large Scale Ip Networks written by Antonio Nucci and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.

Sets out the design and management principles of large-scale IP networks by weaving together theory and practice.

Large Scale Networks

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Author : Radu Dobrescu
language : en
Publisher: CRC Press
Release Date : 2016-10-03

Large Scale Networks written by Radu Dobrescu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-03 with Computers categories.

This book offers a rigorous analysis of the achievements in the field of traffic control in large networks, oriented on two main aspects: the self-similarity in traffic behaviour and the scale-free characteristic of a complex network. Additionally, the authors propose a new insight in understanding the inner nature of things, and the cause-and-effect based on the identification of relationships and behaviours within a model, which is based on the study of the influence of the topological characteristics of a network upon the traffic behaviour. The effects of this influence are then discussed in order to find new solutions for traffic monitoring and diagnosis and also for traffic anomalies prediction. Although these concepts are illustrated using highly accurate, highly aggregated packet traces collected on backbone Internet links, the results of the analysis can be applied for any complex network whose traffic processes exhibit asymptotic self-similarity, perceived as an adaptability of traffic in networks. However, the problem with self-similar models is that they are computationally complex. Their fitting procedure is very time-consuming, while their parameters cannot be estimated based on the on-line measurements. In this aim, the main objective of this book is to discuss the problem of traffic prediction in the presence of self-similarity and particularly to offer a possibility to forecast future traffic variations and to predict network performance as precisely as possible, based on the measured traffic history.

Machine Learning For Cyber Security

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Author : Yuan Xu
language : en
Publisher: Springer Nature
Release Date : 2023-01-12

Machine Learning For Cyber Security written by Yuan Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-12 with Computers categories.

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.

Big Data Analytics In Cybersecurity

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Author : Onur Savas
language : en
Publisher: CRC Press
Release Date : 2017-09-18

Big Data Analytics In Cybersecurity written by Onur Savas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.