Long-lasting transient conditions in simulations with heavy-tailed workloads
Proceedings of the 29th conference on Winter simulation
PC based precision timing without GPS
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Fast accurate computation of large-scale IP traffic matrices from link loads
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
An information-theoretic approach to traffic matrix estimation
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Comparing Probe- and Router-Based Packet-Loss Measurement
IEEE Internet Computing
Strategies for sound internet measurement
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Robust traffic matrix estimation with imperfect information: making use of multiple data sources
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
A Proposed Framework for Calibration of Available Bandwidth Estimation Tools
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
On the 95-Percentile Billing Method
PAM '09 Proceedings of the 10th International Conference on Passive and Active Network Measurement
Survey of SNMP performance analysis studies
International Journal of Network Management
Spatio-temporal compressive sensing and internet traffic matrices
IEEE/ACM Transactions on Networking (TON)
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For some time it has been known that the standard method for collecting link-traffic measurements in IP networks--the Simple Network Management Protocol or SNMP--is flawed. It has often been noted that SNMP is subject to missing data, and that its measurements contain errors. However, very little work has been aimed at assessing the magnitude of these errors. This paper develops a simple, easily applicable technique for measuring SNMP errors, and uses it in a case study to assess errors in a common SNMP collection tool. The results indicate that most link-load measurement errors are relatively small, but the distribution has a heavy-tail, and that a few measurement errors can be as large as the measurements themselves. The approach also allows us to go some way towards explaining the cause of the errors.