Load Modelling and Generation in IP-based Networks
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-19101-6 (ISBN)
Andrey Kolesnikov proposes an interesting unified approach and corresponding tools for modelling and effective generation of realistic workloads and traffic in networks. As a result of the general applicability in IP-based networks, the outcome of his research can be used for different service interfaces in combination with various workload models and modelling techniques. His work is both broad and deep in focus in order to demonstrate the application of the proposed approach in different realistic scenarios.
Dr. Andrey Kolesnikov defended his PhD thesis in computer science at the University of Hamburg in 2017. His major research interests include multimedia communication, performance evaluation, load modelling and traffic generation in computer networks.
Overview of the State of the Art in Workload Modelling and Generation.- A Formal Workload Description Technique.- Load Models for Voice, Video, and Web Traffic Sources.- Architecture of the Unified Load Generator.- Traffic Generation at Network (IPv4), Transport (TCP/UDP), and Application (HTTP) Service Interfaces.- QoS Measurements for Video Streaming in WLANs.
Erscheinungsdatum | 15.09.2017 |
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Zusatzinfo | XXI, 316 p. 58 illus., 11 illus. in color. |
Verlagsort | Wiesbaden |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 440 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | Computer networking & communications • Computer networking & communications • Computer Networks • Computer Science • Computer Systems Organization and Communication Ne • Information Retrieval • information systems applications (incl. internet) • Internet Searching • Load Generation • Load Generator • Operating Systems • Performance Evaluation • Software engineering • Software Engineering/Programming and Operating Sys • Traffic Generation • Traffic Generator |
ISBN-10 | 3-658-19101-5 / 3658191015 |
ISBN-13 | 978-3-658-19101-6 / 9783658191016 |
Zustand | Neuware |
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