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Load Modelling And Generation In Ipbased Networks Kolesnikov

Name: Load Modelling And Generation In Ipbased Networks Kolesnikov
SKU: BELL-6754016
Price: 31.00 USD
Availability: InStock
Rating: 5 (18 reviews)

SKU: BELL-6754016

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

18 reviews

Load Modelling And Generation In Ipbased Networks Kolesnikov instant download after payment.

Publisher: SPRINGER VIEWEG

File Extension: PDF

File size: 3.89 MB

Pages: 325

Author: KOLESNIKOV, ANDREY

ISBN: 9783658191016, 9783658191023, 3658191015, 3658191023

Language: English

Year: 2017

Product desciption

Load Modelling And Generation In Ipbased Networks Kolesnikov by Kolesnikov, Andrey 9783658191016, 9783658191023, 3658191015, 3658191023 instant download after payment.

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. Contents 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 Target Groups Lecturers and students in computer science, especially computer networks, multimedia communication, performance evaluation Internet and/or application service providers (ISPs/ASPs), telecoms, network researchers, developers of new network and distributed application services, QoS engineers, network administrators and operators The Author 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.
Abstract: Andrey Kolesnikov proposes an interesting unified approach and corresponding tools for modelling and effective generation of realistic workloads and traffic in networks.