Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments
This book presents a framework for a new hybrid scheduling strategy for heterogeneous, asymmetric telecommunication environments. It discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and mathematical reasoning.
1128483643
Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments
This book presents a framework for a new hybrid scheduling strategy for heterogeneous, asymmetric telecommunication environments. It discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and mathematical reasoning.
74.99 In Stock
Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

Data Scheduling and Transmission Strategies in Asymmetric Telecommunication Environments

eBook

$74.99 

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Overview

This book presents a framework for a new hybrid scheduling strategy for heterogeneous, asymmetric telecommunication environments. It discusses comparative advantages and disadvantages of push, pull, and hybrid transmission strategies, together with practical consideration and mathematical reasoning.

Product Details

ISBN-13: 9781040167229
Publisher: CRC Press
Publication date: 03/24/2008
Sold by: Barnes & Noble
Format: eBook
Pages: 160
File size: 13 MB
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About the Author

Roy, Abhishek; Saxena, Navrati

Table of Contents

1. Introduction 2. Related Work in Push-Pull Scheduling 3. Hybrid Push-Pull Scheduling 4. Adaptive Push-Pull Algorithm with Performance Guarantee 5. Hybrid Scheduling with Client’s Impatience 6. Dynamic Hybrid Scheduling with Request Repetition 7. Service Classification in Hybrid Scheduling for Differentiated QoS 8. Online Hybrid Scheduling over Multiple Channels 9. Conclusions and Future Works
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