Understanding network workload through the characterization of network flows, being essential for assisting network management tasks, can benefit largely from traffic sampling as long as an accurate snapshot of network behavior is captured. This paper is devoted to evaluate the real applicability of using sampling to support flow analysis. Considering both classical and emerging sampling techniques, a comparative performance study is carried out to assess the accuracy of estimating flow parameters through sampling. After identifying the main building blocks of sampled-based measurements, a sampling framework has been implemented to provide a versatile and fair platform for carrying out the testing and comparison process. Through an encompas...
Network management and anomaly detection are challenges in high-speed networks due to the high volum...
Network data volumes have seen a substantial increase in recent years, in part due to the massive us...
Part 7: Ph.D. Student Workshop — Monitoring and Information SharingInternational audienceTraffic sam...
Within network measurement context, traffic sampling has been targeted as a promising solution to co...
Traffic sampling is viewed as a prominent strategy contributing to lightweight and scalable network ...
The massive traffic volumes and heterogeneity of services in today's networks urge for flexible, yet...
The paradigm of having everyone and everything connected in an ubiquitous way poses huge challenges ...
The relative performance of different data collection methods in the assessmentofvarious traffic par...
The high volume of packets and packet rates of traffic on some router links makes it exceedingly dif...
Traffic sampling is seen as a mandatory solution to cope with the huge amount of traffic traversing ...
Abstract—Traffic Sampling is a crucial step towards scalable network measurements, enclosing manifol...
The use of packet sampling for traffic measurement has become mandatory for network operators tocope...
Abstract — Traffic measurement and monitoring are an important first step for network management and...
Traffic Sampling is a crucial step towards scalable network measurements, enclosing manifold challen...
Packet sampling is needed to measure network traffic scalably at high speeds. While many sampled-bas...
Network management and anomaly detection are challenges in high-speed networks due to the high volum...
Network data volumes have seen a substantial increase in recent years, in part due to the massive us...
Part 7: Ph.D. Student Workshop — Monitoring and Information SharingInternational audienceTraffic sam...
Within network measurement context, traffic sampling has been targeted as a promising solution to co...
Traffic sampling is viewed as a prominent strategy contributing to lightweight and scalable network ...
The massive traffic volumes and heterogeneity of services in today's networks urge for flexible, yet...
The paradigm of having everyone and everything connected in an ubiquitous way poses huge challenges ...
The relative performance of different data collection methods in the assessmentofvarious traffic par...
The high volume of packets and packet rates of traffic on some router links makes it exceedingly dif...
Traffic sampling is seen as a mandatory solution to cope with the huge amount of traffic traversing ...
Abstract—Traffic Sampling is a crucial step towards scalable network measurements, enclosing manifol...
The use of packet sampling for traffic measurement has become mandatory for network operators tocope...
Abstract — Traffic measurement and monitoring are an important first step for network management and...
Traffic Sampling is a crucial step towards scalable network measurements, enclosing manifold challen...
Packet sampling is needed to measure network traffic scalably at high speeds. While many sampled-bas...
Network management and anomaly detection are challenges in high-speed networks due to the high volum...
Network data volumes have seen a substantial increase in recent years, in part due to the massive us...
Part 7: Ph.D. Student Workshop — Monitoring and Information SharingInternational audienceTraffic sam...