Measurements and analysis of end-to-end Internet dynamics
Measurements and analysis of end-to-end Internet dynamics
Packet reordering is not pathological network behavior
IEEE/ACM Transactions on Networking (TON)
On making TCP more robust to packet reordering
ACM SIGCOMM Computer Communication Review
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
Metrics for Degree of Reordering in Packet Sequences
LCN '02 Proceedings of the 27th Annual IEEE Conference on Local Computer Networks
TCP-PR: TCP for Persistent Packet Reordering
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
RR-TCP: A Reordering-Robust TCP with DSACK
ICNP '03 Proceedings of the 11th IEEE International Conference on Network Protocols
Survey and taxonomy of IP address lookup algorithms
IEEE Network: The Magazine of Global Internetworking
Counting preimages of TCP reordering patterns
Discrete Applied Mathematics
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The increase in link speeds, increased parallelism within routers and switches, QoS support and load balancing among links, all point to future networks with increased packet reordering. Unchecked, packet reordering will have a significant detrimental effect on the end-to-end performance, while resources required for dealing with packet reordering at routers and end-nodes will grow considerably. A formal analysis of packet reordering is carried out and Reorder Density (RD) metric is defined for measurement and characterization of packet reordering. RD captures the amount and degree of reordering, and can be used to define the reorder response of networks under stationary conditions. Properties of RD are derived, and it is shown that the reorder response of the network formed by cascading two subnets is equal to the convolution of the reorder responses of individual subnets. Packet reordering over the Internet is measured and used to validate the derivations.