Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Code red worm propagation modeling and analysis
Proceedings of the 9th ACM conference on Computer and communications security
Does fractal scaling at the IP level depend on TCP flow arrival processes?
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Characteristics of internet background radiation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
MultiQ: automated detection of multiple bottleneck capacities along a path
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Packet-dispersion techniques and a capacity-estimation methodology
IEEE/ACM Transactions on Networking (TON)
Multifractality in TCP/IP traffic: the case against
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Unwanted traffic in 3G networks
ACM SIGCOMM Computer Communication Review
Nettimer: a tool for measuring bottleneck link, bandwidth
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
Cluster processes: a natural language for network traffic
IEEE Transactions on Signal Processing
Wavelet analysis of long-range-dependent traffic
IEEE Transactions on Information Theory
Some remarks on ld plots for heavy-tailed traffic
ACM SIGCOMM Computer Communication Review
Some remarks on unexpected scaling exponents
ACM SIGCOMM Computer Communication Review
Traffic generator model for an n-node network
HSI'09 Proceedings of the 2nd conference on Human System Interactions
On the role of flows and sessions in internet traffic modeling: an explorative toy-model
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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In this informal contribution we raise a few remarks and requests for clarification about some recent papers in the field of traffic analysis. These examples are illustrative of the kind of issues and open points that are encountered when reading, applying and working with published papers. The readers and followers of each published paper - especially of the best ones - form naturally a small community of interest. In most cases remarks and open points about the paper are of interest for the them all. Based on these considerations we raise the following proposal to the research community: let each conference and/or journal editor maintain an open public wiki-like commenting platform for publishing comments and rebuttals after the paper publication.