Book contents
- Frontmatter
- Contents
- Notation
- Introduction
- 1 Preliminaries
- 2 Fundamental Conditions for Additive Network Tomography
- 3 Monitor Placement for Additive Network Tomography
- 4 Measurement Path Construction for Additive Network Tomography
- 5 Fundamental Conditions for Boolean Network Tomography
- 6 Measurement Design for Boolean Network Tomography
- 7 Stochastic Network Tomography Using Unicast Measurements
- 8 Stochastic Network Tomography Using Multicast Measurements
- 9 Other Applications and Miscellaneous Techniques
- Appendix Datasets for Evaluations
- Index
Introduction
Published online by Cambridge University Press: 25 May 2021
- Frontmatter
- Contents
- Notation
- Introduction
- 1 Preliminaries
- 2 Fundamental Conditions for Additive Network Tomography
- 3 Monitor Placement for Additive Network Tomography
- 4 Measurement Path Construction for Additive Network Tomography
- 5 Fundamental Conditions for Boolean Network Tomography
- 6 Measurement Design for Boolean Network Tomography
- 7 Stochastic Network Tomography Using Unicast Measurements
- 8 Stochastic Network Tomography Using Multicast Measurements
- 9 Other Applications and Miscellaneous Techniques
- Appendix Datasets for Evaluations
- Index
Summary
This chapter introduces the definition of network tomography and the three branches of network tomography and provides an overview of the main issues addressed in the subsequent chapters.
Keywords
- Type
- Chapter
- Information
- Network TomographyIdentifiability, Measurement Design, and Network State Inference, pp. 1 - 2Publisher: Cambridge University PressPrint publication year: 2021