Observing TCP dynamics in real networks
SIGCOMM '92 Conference proceedings on Communications architectures & protocols
The changing nature of network traffic: scaling phenomena
ACM SIGCOMM Computer Communication Review
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Packet reordering is not pathological network behavior
IEEE/ACM Transactions on Networking (TON)
Does fractal scaling at the IP level depend on TCP flow arrival processes?
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
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
A multifractal wavelet model with application to network traffic
IEEE Transactions on Information Theory
MultiQ: automated detection of multiple bottleneck capacities along a path
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Why is the internet traffic bursty in short time scales?
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Notes on burst mitigation for transport protocols
ACM SIGCOMM Computer Communication Review
A scalable load balancer for forwarding internet traffic: exploiting flow-level burstiness
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Client-Centered, Energy-Efficient Wireless Communication on IEEE 802.11b Networks
IEEE Transactions on Mobile Computing
Lévy flights and fractal modeling of internet traffic
IEEE/ACM Transactions on Networking (TON)
A cost-effective load-balancing policy for tile-based, massive multi-core packet processors
ACM Transactions on Embedded Computing Systems (TECS)
On the interaction between internet applications and TCP
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
Load balancing for flow-based parallel processing systems in CMP architecture
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Node pacing for small optical RAM-buffered packet-switching networks
Photonic Network Communications
Receive side coalescing for accelerating TCP/IP processing
HiPC'06 Proceedings of the 13th international conference on High Performance Computing
On the impact of bursting on TCP performance
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
A longitudinal study of small-time scaling behavior of internet traffic
NETWORKING'10 Proceedings of the 9th IFIP TC 6 international conference on Networking
Buffer scaling for optical packet switching networks with shared RAM
Optical Switching and Networking
Trickle: rate limiting YouTube video streaming
USENIX ATC'12 Proceedings of the 2012 USENIX conference on Annual Technical Conference
Bullet trains: a study of NIC burst behavior at microsecond timescales
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
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By source-level IP packet burst, we mean several IP packets sent back-to-back from the source of a flow. We first identify several causes of source-level bursts, including TCP's slow start, idle restart, window advancement after loss recovery, and segmentation of application messages into multiple UDP packets. We then show that the presence of packet bursts in individual flows can have a major impact on aggregate traffic. In particular, such bursts create scaling in a range of timescales which corresponds to the burst duration. Uniform "spreading" of bursts in the time axis reduces the scaling exponent in short timescales (up to 100-200ms) to almost zero, meaning that the aggregate traffic becomes practically uncorrelated in that range. This result provides a plausible explanation for the scaling behavior of Internet traffic in short timescales. We also show that removing packet bursts from individual flows reduces significantly the tail of the aggregate marginal distribution, and it improves queueing performance, especially in moderate utilizations (50-85%).