A Survey on Internet Performance Measurement Platforms and Related Standardization Efforts

Bajpai, Vaibhav; Schönwälder, Jürgen

doi:10.1109/comst.2015.2418435

Cited by 93 publications

(54 citation statements)

References 140 publications

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“…In this regard, the metrics defined by the IETF IPPM working group assume a key role even today. They focus on the measurement of quality, performance and reliability of protocols and services that operate on top of the IP layer [7]. Standards by the International Telecommunication Union (ITU-T) also play a role here: ITU-T Rec.…”

Section: From Kpis To Modern Quality Modelsmentioning

confidence: 99%

“…SamKnows, BISmark, and RIPE Atlas are examples of platforms that deploy dedicated hardware-based probes, whereas Dasu, Netradar, Portolan and perfSONAR rely on software installations for some hardware systems [7]. (It should be added that these probe systems do not implement higher-level QoE models, but are more typically used for QoS assessment.…”

Section: Probesmentioning

confidence: 99%

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Challenges of future multimedia QoE monitoring for internet service providers

Robitza

Ahmad

Kara

et al. 2017

Multimed Tools Appl

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The ever-increasing network traffic and user expectations at reduced cost make the delivery of high Quality of Experience (QoE) for multimedia services more vital than ever in the eyes of Internet Service Providers (ISPs Appl (2017) 76:22243-22266 focus on the user, has become essential as the first step in cost-effective provisioning of high quality services. With the recent changes in the perception of user privacy, the rising level of application-layer encryption and the introduction and deployment of virtualized networks, QoE monitoring solutions need to be adapted to the fast changing Internet landscape. In this contribution, we provide an overview of state-of-the-art quality monitoring models and probing technologies, and highlight the major challenges ISPs have to face when they want to ensure high service quality for their customers.

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Section: From Kpis To Modern Quality Modelsmentioning

confidence: 99%

Section: Probesmentioning

confidence: 99%

Challenges of future multimedia QoE monitoring for internet service providers

Robitza

Ahmad

Kara

et al. 2017

Multimed Tools Appl

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“…Finally, several platforms are available for researchers to run their experiments in extensive testbeds, either isolated or across the public internet [1,2,8,15]. Flent can be used to drive experiments on these platforms, further increasing the ease of running experiments.…”

Section: Related Workmentioning

confidence: 99%

Flent

Høiland-Jørgensen

Grazia

Hurtig

et al. 2017

Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools

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Running network performance experiments on real systems is essential for a complete understanding of protocols and systems connected to the internet. However, the process of running experiments can be tedious and error-prone. In particular, ensuring reproducibility across di erent systems is di cult, and comparing di erent test runs from an experiment can be non-trivial.In this paper, we present a tool, called Flent, designed to make experimental evaluations of networks more reliable and easier to perform. Flent works by composing well-known benchmarking tools to, e.g., run tests consisting of several bulk data ows combined with simultaneous latency measurements. Tests are speci ed in source code, and several common tests are included with the tool. In addition, Flent contains features to automate test runs, collect relevant metadata and interactively plot and explore datasets.We showcase Flent's capabilities by performing a set of experiments evaluating the new BBR congestion control algorithm, using Flent's capabilities to reproduce experiments both in a controlled testbed and across the public internet. Our evaluation reveals several interesting features of BBR's performance.

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“…Passive measurement methods are the ones that are: (i) "Based solely on observations of undisturbed and unmodified packet stream of interest" (ii) "Dependent on the existence of one or more packet streams to supply the stream of interest" (iii) "Dependent on the presence of the packet stream of interest at one or more designated observation points" Now, with all those definitions in hand, we are able to classify and identify performance assessment on the Internet as active, passive, and hybrid and also have a clear view of the metrics and methods for each class. For an in-depth understanding of large-scale performance assessment on the Internet, we refer the reader to a survey paper entitled "A Survey on Internet Performance Measurement Platforms and Related Standardization Efforts" [11] and to the references therein. As the main ideas behind the concepts of passive, active, and hybrid measurements are clear, let's delve into the nuances of collecting real data traffic.…”

Section: Fig 22mentioning

confidence: 99%

Methods and Techniques for Measurements in the Internet

Fernandes

2017

Performance Evaluation for Network Services, Systems and Protocols

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An in-depth understanding of the Internet traffic mix is of paramount importance for network management tasks, such as optimizing the underlying infrastructure for emerging applications. However, the Internet traffic mix changes over time and is very complex when it comes to measurements and classification techniques. Its traffic profile also changes depending on the measurement points [1]. Although there is no de facto way to perform measurements on the Internet, there are good IETF documents that highlight some important elements in this context [2,3]. However, as the Internet evolves at a fast pace, it is hard to have a general measurement framework that covers all aspects of the future Internet [4]. One clear example is the recent rise of virtualization technologies in computer networking. Virtualization techniques are bringing a new set of challenges from the point of view of the measurement process (cf. Sect. 2.5). Figure 2.1 presents an overview of the measurement process where one can identify three major steps, namely, capturing, processing, and exporting/recording, at packet level.

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A Survey on Internet Performance Measurement Platforms and Related Standardization Efforts

Cited by 93 publications

References 140 publications

Challenges of future multimedia QoE monitoring for internet service providers

Challenges of future multimedia QoE monitoring for internet service providers

Flent

Methods and Techniques for Measurements in the Internet

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