Passive and Active Measurement: 23rd International Conference, PAM 2022, Virtual Event, March 28-30, 2022, Proceedings

This book presents the proceedings of the 23rd International Conference on Passive and Active Measurement, PAM 2022, which was held virtually due to the COVID-19 pandemic. It includes 15 full papers and 15 short papers that cover emerging and early-stage research in network measurements, aiming to understand complex real-world networked systems and provide empirical foundations for network research.

Format: Paperback / softback
Length: 692 pages
Publication date: 22 March 2022
Publisher: Springer Nature Switzerland AG

The 23rd International Conference on Passive and Active Measurement (PAM 2022) was held virtually in March 2022, due to the impact of the COVID-19 pandemic. This conference brought together researchers and experts from around the world to discuss and explore innovative approaches in network measurement.

The proceedings of the conference, published in this volume, include a total of 15 full papers and 15 short papers. These papers were meticulously reviewed and selected from a pool of 62 submissions, reflecting the high caliber of research in the field.

The papers presented in this volume cover a wide range of topics, including network measurement techniques, network analysis, network security, and network economics. They showcase emerging and early-stage research that aims to better understand complex, real-world networked systems and provide critical empirical foundations and support to network research.

One of the key themes of the conference was the use of passive and active measurement techniques to capture and analyze network behavior. Passive measurement involves observing network traffic without interfering with the communication process, while active measurement involves actively probing and manipulating network elements to collect data. The papers presented in this volume explore the advantages and limitations of these techniques, as well as their applications in various network scenarios.

Another important theme of the conference was the development of new and innovative network measurement tools and technologies. The papers presented in this volume discuss the use of machine learning, big data analytics, and artificial intelligence to analyze network data and extract valuable insights. They also explore the use of decentralized and distributed measurement techniques to overcome the challenges of measuring large-scale networks.

The conference also featured several keynote speeches and panel discussions, where renowned researchers and industry experts shared their insights and perspectives on the latest trends and developments in network measurement. These discussions provided valuable opportunities for networking and collaboration among participants.

In conclusion, the proceedings of the 23rd International Conference on Passive and Active Measurement (PAM 2022) represent a significant contribution to the field of network measurement. They highlight the latest research and developments in the area, and provide valuable insights and perspectives to researchers, practitioners, and policymakers. The conference's virtual format allowed for global participation and collaboration, despite the challenges posed by the COVID-19 pandemic.

The 23rd International Conference on Passive and Active Measurement (PAM 2022) was held virtually in March 2022, due to the impact of the COVID-19 pandemic. This conference brought together researchers and experts from around the world to discuss and explore innovative approaches in network measurement.

The proceedings of the conference, published in this volume, include a total of 15 full papers and 15 short papers. These papers were meticulously reviewed and selected from a pool of 62 submissions, reflecting the high caliber of research in the field.

The papers presented in this volume cover a wide range of topics, including network measurement techniques, network analysis, network security, and network economics. They showcase emerging and early-stage research that aims to better understand complex, real-world networked systems and provide critical empirical foundations and support to network research.

One of the key themes of the conference was the use of passive and active measurement techniques to capture and analyze network behavior. Passive measurement involves observing network traffic without interfering with the communication process, while active measurement involves actively probing and manipulating network elements to collect data. The papers presented in this volume explore the advantages and limitations of these techniques, as well as their applications in various network scenarios.

Another important theme of the conference was the development of new and innovative network measurement tools and technologies. The papers presented in this volume discuss the use of machine learning, big data analytics, and artificial intelligence to analyze network data and extract valuable insights. They also explore the use of decentralized and distributed measurement techniques to overcome the challenges of measuring large-scale networks.

The conference also featured several keynote speeches and panel discussions, where renowned researchers and industry experts shared their insights and perspectives on the latest trends and developments in network measurement. These discussions provided valuable opportunities for networking and collaboration among participants.

In conclusion, the proceedings of the 23rd International Conference on Passive and Active Measurement (PAM 2022) represent a significant contribution to the field of network measurement. They highlight the latest research and developments in the area, and provide valuable insights and perspectives to researchers, practitioners, and policymakers. The conference's virtual format allowed for global participation and collaboration, despite the challenges posed by the COVID-19 pandemic.

Weight: 1068g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030987848
Edition number: 1st ed. 2022