Sampling and Filtering Techniques for IP Packet Selection

Zseby, Tanja; Molina, Maurizio; Duffield, Nick; Niccolini, Saverio; Raspall, Frederic

doi:10.17487/rfc5475

Cited by 98 publications

(125 citation statements)

References 13 publications

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“…According to [16], stratified sampling is an example of a hybrid technique. The basic idea behind the stratified sampling is to increase the accuracy of the estimate, using a priori information about the correlations of the characteristics investigated with some other trait easier to obtain.…”

Section: B Stratified Samplingmentioning

confidence: 99%

“…This process shifts the focus to the "elephant" flow, which has a severe impact in the volume of traffic. The authors in [16] include on their solution a sampling rate adaptability mechanism. [25] proposes an adaptive sampling method, which adjusts the sampling rate so as to limit the error of the estimate of the flow volume without oversampling.…”

Section: Adaptive Samplingmentioning

confidence: 99%

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Intelligent Network Client Profiler

Arsénio¹

2013

JACN

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Abstract-Peer2Peer traffic already accounts for a large share of the overall internet traffic. Future solutions will need to manage all the available resources in order to charge users using fair rules according to their communication profile. Obtaining information about the behavior of Internet traffic is therefore fundamental to the management, monitoring and operation activities, such as the identification of applications and protocols that customers use. However, the main obstacle to this identification is the lack of scalability for monitoring network devices. In particular, they can analyze all the network packets for this purpose. This task is extremely demanding and almost impossible to accomplish rapidly in large networks (because usually there is a number in the hundreds or thousands of customers). Furthermore, we expect such networks to become even larger, as on the internet of things all devices (sensors, appliances, etc) will be publicly connected to the internet. As such, traffic sampling strategies have been proposed to overcome this major problem of scale. This paper presents different works in the area of monitoring traffic for user profiling and security purposes. It proposes as well a solution that uses selective filtering techniques combined with an engine traffic DPI to identify applications and protocols that customers use most frequently. Thus it becomes possible to get ISPs to optimize their network in a scalable and intelligent manner, imposing security measures in order to enforce network usage according to client profiles.

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Section: B Stratified Samplingmentioning

confidence: 99%

Section: Adaptive Samplingmentioning

confidence: 99%

Intelligent Network Client Profiler

Arsénio¹

2013

JACN

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“…In its simplest form the sampling process can be a format conversion, i. e., converting a Unix timestamp to a human readable format, or it can involve filtering and simple arithmetics [29]. The sampling process can be done in one operation or a sequence of operations.…”

Section: Samplingmentioning

confidence: 99%

Application Level Measurement

Arlos

2011

Network Performance Engineering

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Abstract. In some cases, application-level measurements can be the only way for an application to get an understanding about the performance offered by the underlying network(s). It can also be that an application-level measurement is the only practical solution to verify the availability of a particular service. Hence, as more and more applications perform measurements of various networks; be that fixed or mobile, it is crucial to understand the context in which the application level measurements operate their capabilities and limitations. To this end in this paper we discuss some of the fundamentals of computer network performance measurements and in particular the key aspects to consider when using application level measurements to estimate network performance properties.

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“…The methods listed below are defined in [RFC5475]. For their parameters, Information Elements are defined in the information model document.…”

Section: The Psamp Information Elementsmentioning

confidence: 99%

“…This document specifies an initial set of PSAMP Information Elements fulfilling the needs specified in [RFC5475], as an extension to the IPFIX Information Elements [RFC5102].…”

Section: Psamp-related Considerationsmentioning

confidence: 99%