Antonio Nucci, Konstantina Papagiannaki
Design, Measurement and Management of Large-Scale IP Networks
Antonio Nucci, Konstantina Papagiannaki
Design, Measurement and Management of Large-Scale IP Networks
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Sets out the design and management principles of large-scale IP networks by weaving together theory and practice.
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Sets out the design and management principles of large-scale IP networks by weaving together theory and practice.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 406
- Erscheinungstermin: 15. Dezember 2008
- Englisch
- Abmessung: 250mm x 175mm x 26mm
- Gewicht: 882g
- ISBN-13: 9780521880695
- ISBN-10: 0521880696
- Artikelnr.: 23882475
- Verlag: Cambridge University Press
- Seitenzahl: 406
- Erscheinungstermin: 15. Dezember 2008
- Englisch
- Abmessung: 250mm x 175mm x 26mm
- Gewicht: 882g
- ISBN-13: 9780521880695
- ISBN-10: 0521880696
- Artikelnr.: 23882475
Antonio Nucci is the Chief Technology Officer at Narus Inc., and gained his Ph.D. in Communication Networks from Politecnico di Torino, Italy in 2003. He was awarded the prestigious Infoworld CTO Top 25 in 2007 for his vision and leadership within Narus and the IT community, and his research interests include network measurement and management, traffic analysis, network security and surveillance, network design, and traffic engineering.
1. Introduction
2. Background and context
Part I. Network Monitoring and Management: 3. The need for monitoring in ISP network design and management
4. Understanding through-router delay
5. Traffic matrices: measurement, inference and modeling
Part II. Network Design and Traffic Engineering: 6. Principles of network design and traffic engineering
7. Topology design resilient to long-lived failures
8. Achieving topology resilience using multi-parallel links
9. Performance enhancement and resilience to short-lived failures via routing optimization
10. Measuring the shared fate of IGP engineering: considerations and takeaway
11. Capacity planning
Part III. From Bits to Services: 12. From bits to services: information is power
13. Traffic classification in the dark
14. Classification of multimedia hybrid flows in real time
15. Detection of data place malware: DoS and computer worms
16. Detection of control place anomalies: beyond prefix hijacking
Appendix A. How to link original and measured flow characteristics when packet sampling is used: bytes, packets and flows
Appendix B. Application specific payload bit strings
Appendix C. BLINC implementation details
Appendix D. Validation of direction-conforming rule.
2. Background and context
Part I. Network Monitoring and Management: 3. The need for monitoring in ISP network design and management
4. Understanding through-router delay
5. Traffic matrices: measurement, inference and modeling
Part II. Network Design and Traffic Engineering: 6. Principles of network design and traffic engineering
7. Topology design resilient to long-lived failures
8. Achieving topology resilience using multi-parallel links
9. Performance enhancement and resilience to short-lived failures via routing optimization
10. Measuring the shared fate of IGP engineering: considerations and takeaway
11. Capacity planning
Part III. From Bits to Services: 12. From bits to services: information is power
13. Traffic classification in the dark
14. Classification of multimedia hybrid flows in real time
15. Detection of data place malware: DoS and computer worms
16. Detection of control place anomalies: beyond prefix hijacking
Appendix A. How to link original and measured flow characteristics when packet sampling is used: bytes, packets and flows
Appendix B. Application specific payload bit strings
Appendix C. BLINC implementation details
Appendix D. Validation of direction-conforming rule.
1. Introduction
2. Background and context
Part I. Network Monitoring and Management: 3. The need for monitoring in ISP network design and management
4. Understanding through-router delay
5. Traffic matrices: measurement, inference and modeling
Part II. Network Design and Traffic Engineering: 6. Principles of network design and traffic engineering
7. Topology design resilient to long-lived failures
8. Achieving topology resilience using multi-parallel links
9. Performance enhancement and resilience to short-lived failures via routing optimization
10. Measuring the shared fate of IGP engineering: considerations and takeaway
11. Capacity planning
Part III. From Bits to Services: 12. From bits to services: information is power
13. Traffic classification in the dark
14. Classification of multimedia hybrid flows in real time
15. Detection of data place malware: DoS and computer worms
16. Detection of control place anomalies: beyond prefix hijacking
Appendix A. How to link original and measured flow characteristics when packet sampling is used: bytes, packets and flows
Appendix B. Application specific payload bit strings
Appendix C. BLINC implementation details
Appendix D. Validation of direction-conforming rule.
2. Background and context
Part I. Network Monitoring and Management: 3. The need for monitoring in ISP network design and management
4. Understanding through-router delay
5. Traffic matrices: measurement, inference and modeling
Part II. Network Design and Traffic Engineering: 6. Principles of network design and traffic engineering
7. Topology design resilient to long-lived failures
8. Achieving topology resilience using multi-parallel links
9. Performance enhancement and resilience to short-lived failures via routing optimization
10. Measuring the shared fate of IGP engineering: considerations and takeaway
11. Capacity planning
Part III. From Bits to Services: 12. From bits to services: information is power
13. Traffic classification in the dark
14. Classification of multimedia hybrid flows in real time
15. Detection of data place malware: DoS and computer worms
16. Detection of control place anomalies: beyond prefix hijacking
Appendix A. How to link original and measured flow characteristics when packet sampling is used: bytes, packets and flows
Appendix B. Application specific payload bit strings
Appendix C. BLINC implementation details
Appendix D. Validation of direction-conforming rule.