Topic
Traffic mix
About: Traffic mix is a research topic. Over the lifetime, 192 publications have been published within this topic receiving 3444 citations.
Papers published on a yearly basis
Papers
9 Dec 2008
TL;DR: This work critically revisit traffic classification by conducting a thorough evaluation of three classification approaches, based on transport layer ports, host behavior, and flow features, and extracts insights and recommendations for both the study and practical application of traffic classification.
Abstract: Recent research on Internet traffic classification algorithms has yield a flurry of proposed approaches for distinguishing types of traffic, but no systematic comparison of the various algorithms. This fragmented approach to traffic classification research leaves the operational community with no basis for consensus on what approach to use when, and how to interpret results. In this work we critically revisit traffic classification by conducting a thorough evaluation of three classification approaches, based on transport layer ports, host behavior, and flow features. A strength of our work is the broad range of data against which we test the three classification approaches: seven traces with payload collected in Japan, Korea, and the US. The diverse geographic locations, link characteristics and application traffic mix in these data allowed us to evaluate the approaches under a wide variety of conditions. We analyze the advantages and limitations of each approach, evaluate methods to overcome the limitations, and extract insights and recommendations for both the study and practical application of traffic classification. We make our software, classifiers, and data available for researchers interested in validating or extending this work.
569 citations
TL;DR: It is argued that traffic theory, an essential component in the design of traditional telecommunications networks, should be increasingly applied in the development of the multiservice Internet.
Abstract: We argue that traffic theory, an essential component in the design of traditional telecommunications networks, should be increasingly applied in the development of the multiservice Internet. We discuss the statistical characteristics of Internet traffic at different time scales. Modeling is facilitated on identifying the notion of flow and distinguishing the categories of streaming and elastic traffic. We review mathematical modeling approaches useful for predicting the relationship between demand, capacity and performance for both streaming and elastic flows. Derived results indicate the limitations of service differentiation as a means for guaranteeing QoS and highlight the importance of traditional traffic engineering approaches in ensuring that the network has sufficient capacity to handle offered demand.
167 citations
1 Jan 2004
TL;DR: A workload model is developed that appears to provide reasonably accurate estimates compared to real workloads for nIDS performance evaluation and is implemented as part of a traffic generator that can be extended and tuned to reflect the needs of different scenarios.
Abstract: While the use of network intrusion detection systems (nIDS) is becoming pervasive, evaluating nIDS performance has been found to be challenging. The goal of this study is to determine how to generate realistic workloads for nIDS performance evaluation. We develop a workload model that appears to provide reasonably accurate estimates compared to real workloads. The model attempts to emulate a traffic mix of different applications, reflecting characteristics of each application and the way these interact with the system. We have implemented this model as part of a traffic generator that can be extended and tuned to reflect the needs of different scenarios. We also present an approach to measuring the capacity of a nIDS that does not require the setup of a full network testbed.
167 citations
1 Oct 1995
TL;DR: It is observed that slow time-scale variations can cause sustained peaks in the source rate, substantially degrading performance, and motivates the design of Renegotiated Constant Bit Rate Service (RCBR), that adds renegotiation and buffer monitoring to traditional CBR service.
Abstract: Compressed video traffic is expected to be a significant component of the traffic mix in integrated services networks. This traffic is hard to manage, since it has strict delay and loss requirements, but at the same time, exhibits burstiness at multiple time-scales. In this paper, we observe that slow time-scale variations can cause sustained peaks in the source rate, substantially degrading performance. We use large deviation theory to study this problem and to motivate the design of Renegotiated Constant Bit Rate Service (RCBR), that adds renegotiation and buffer monitoring to traditional CBR service. We argue the the load placed on signalling by RCBR can be handled by current technology. We present a) an algorithm to compute the optimal renegotiation schedule for stored (off-line) traffic, and b) a heuristic to approximate the optimal schedule for online traffic. Simulation experiments show that RCBR is able to extract almost all of the statistical multiplexing gain available by exploiting slow time-scale variations in traffic. In more general terms, we believe that a clean system design must match control time-scales to the time scales over which the workload varies. RCBR works well because it makes intelligent use of this time-scale separation.
118 citations
TL;DR: In this article, the authors describe the composition of the traffic mix on links when looking for dominant applications, users, or estimating traffic matrices in a network operator's decision making process.
Abstract: Network operators need to determine the composition of the traffic mix on links when looking for dominant applications, users, or estimating traffic matrices. Cisco's NetFlow has evolved into a sol...
111 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 4 |
| 2020 | 4 |
| 2019 | 4 |
| 2018 | 2 |
| 2017 | 8 |
| 2016 | 3 |