Tag: measurement systems

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Publications Software releases Technical Report

new technical report “LDplayer: DNS Experimentation at Scale”

We released a new technical report “LDplayer: DNS Experimentation at Scale”, ISI-TR-722, available at https://www.isi.edu/publications/trpublic/pdfs/ISI-TR-722.pdf.

ldplayer_overviewFrom the abstract:

DNS has evolved over the last 20 years, improving in security and privacy and broadening the kinds of applications it supports. However, this evolution has been slowed by the large installed base with a wide range of implementations that are slow to change. Changes need to be carefully planned, and their impact is difficult to model due to DNS optimizations, caching, and distributed operation. We suggest that experimentation at scale is needed to evaluate changes and speed DNS evolution. This paper presents LDplayer, a configurable, general-purpose DNS testbed that enables DNS experiments to scale in several dimensions: many zones, multiple levels of DNS hierarchy, high query rates, and diverse query sources. LDplayer provides high fidelity experiments while meeting these requirements through its distributed DNS query replay system, methods to rebuild the relevant DNS hierarchy from traces, and efficient emulation of this hierarchy of limited hardware. We show that a single DNS server can correctly emulate multiple independent levels of the DNS hierarchy while providing correct responses as if they were independent. We validate that our system can replay a DNS root traffic with tiny error (+/- 8ms quartiles in query timing and +/- 0.1% difference in query rate). We show that our system can replay queries at 87k queries/s, more than twice of a normal DNS Root traffic rate, maxing out one CPU core used by our customized DNS traffic generator. LDplayer’s trace replay has the unique ability to evaluate important design questions with confidence that we capture the interplay of caching, timeouts, and resource constraints. As an example, we can demonstrate the memory requirements of a DNS root server with all traffic running over TCP, and we identified performance discontinuities in latency as a function of client RTT.

Software developed in this paper is available at https://ant.isi.edu/software/ldplayer/.

 

 

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Papers Publications

new conference paper “A Look at Router Geolocation in Public and Commercial Databases” in IMC 2017

The paper “A Look at Router Geolocation in Public and Commercial Databases” has appeared in the 2017 Internet Measurement Conference (IMC) on November 1-3, 2017 in London, United Kingdom.

From the abstract:

Regional breakdown of the geolocation error for the geolocation databases vs. ground truth data.

Internet measurement research frequently needs to map infrastructure components, such as routers, to their physical locations. Although public and commercial geolocation services are often used for this purpose, their accuracy when applied to network infrastructure has not been sufficiently assessed. Prior work focused on evaluating the overall accuracy of geolocation databases, which is dominated by their performance on end-user IP addresses. In this work, we evaluate the reliability of router geolocation in databases. We use a dataset of about 1.64M router interface IP addresses extracted from the CAIDA Ark dataset to examine the country- and city-level coverage and consistency of popular public and commercial geolocation databases. We also create and provide a ground-truth dataset of 16,586 router interface IP addresses and their city-level locations, and use it to evaluate the databases’ accuracy with a regional breakdown analysis. Our results show that the databases are not reliable for geolocating routers and that there is room to improve their country- and city-level accuracy. Based on our results, we present a set of recommendations to researchers concerning the use of geolocation databases to geolocate routers.

The work in this paper was joint work by Manaf Gharaibeh, Anant Shah, Han Zhang, Christos Papadopoulos (Colorado State University), Brad Huffaker (CAIDA / UC San Diego), and Roya Ensafi (University of Michigan). The findings of this work are highlighted in an APNIC blog post “Should we trust the geolocation databases to geolocate routers?”. The ground truth datasets used in the paper are available via IMPACT.

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Papers Publications

new conference paper “Recursives in the Wild: Engineering Authoritative DNS Servers” in IMC 2017

The paper “Recursives in the Wild: Engineering Authoritative DNS Servers” will appear in the 2017 Internet Measurement Conference (IMC) on November 1-3, 2017 in London, United Kingdom.

Recursive DNS server selection of authoritatives, per continent. (Figure 4 from [Mueller17b].)
From the abstract:

In In Internet Domain Name System (DNS), services operate authoritative name servers that individuals query through recursive resolvers. Operators strive to provide reliability by operating multiple name servers (NS), each on a separate IP address, and by using IP anycast to allow NSes to provide service from many physical locations. To meet their goals of minimizing latency and balancing load across NSes and anycast, operators need to know how recursive resolvers select an NS, and how that interacts with their NS deployments. Prior work has shown some recursives search for low latency, while others pick an NS at random or round robin, but did not examine how prevalent each choice was. This paper provides the first analysis of how recursives select between name servers in the wild, and from that we provide guidance to operators how to engineer their name servers to reach their goals. We conclude that all NSes need to be equally strong and therefore we recommend to deploy IP anycast at every single authoritative.

All datasets used in this paper (but one) are available at https://ant.isi.edu/datasets/dns/index.html#recursives .

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Papers Publications

new conference paper “Broad and Load-aware Anycast Mapping with Verfploeter” in IMC 2017

The paper “Broad and Load-aware Anycast Mapping with Verfploeter” will appear in the 2017 Internet Measurement Conference (IMC) on November 1-3, 2017 in London, United Kingdom.

From the abstract:

IP anycast provides DNS operators and CDNs with automatic failover and reduced latency by breaking the Internet into catchments, each served by a different anycast site. Unfortunately, understanding and predicting changes to catchments as anycast sites are added or removed has been challenging. Current tools such as RIPE Atlas or commercial equivalents map from thousands of vantage points (VPs), but their coverage can be inconsistent around the globe. This paper proposes Verfploeter, a new method that maps anycast catchments using active probing. Verfploeter provides around 3.8M passive VPs, 430x the 9k physical VPs in RIPE Atlas, providing coverage of the vast majority of networks around the globe. We then add load information from prior service logs to provide calibrated predictions of anycast changes. Verfploeter has been used to evaluate the new anycast deployment for B-Root, and we also report its use of a nine-site anycast testbed. We show that the greater coverage made possible by Verfploeter’s active probing is necessary to see routing differences in regions that have sparse coverage from RIPE Atlas, like South America and China.

Distribution of load across two anycast sites of B-root using Verfploeter.

The work in this paper was joint work by Wouter B. de Vries, Ricardo de O. Schmidt (Univ. of Twente), Wes Hardaker, John Heidemann (USC/ISI), Pieter-Tjerk de Boer and Aiko Pras (Univ. of Twente). The datasets used in the paper are available at https://ant.isi.edu/datasets/anycast/index.html#verfploeter.

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In-the-news Internet Outages

Evaluation of Hurricane Harvey’s Effects on the Internet’s Edge

On August 25, 2017 Hurricane Harvey made landfall in south Texas, causing widespread property damage, displacing more than 30,000 people, and costing more than 45 lives (as of 2017-09-01).

We sympathize with those were hurt by this disaster, and hope for swift recovery for the region.

We recently examined the effects of Hurricane Harvey on the area using Trinocular, our internet outage detection system.  Two key results:

Trinocular report on outages in Texas after Hurricane Harvey (on 2017-08-28t03:32Z)

We see that landfall was followed by widespread Internet outages in the Corpus Christi area, with 40% or more home networks dropping off the Internet.

We see that over the following days, network outages grew in the Houston area, with many networks dropping off the Internet. However, the fraction of networks lost in Houston was much smaller than in the Corpus Christi area.

More details are on our Hurricane Harvey web page.  We will update that page as we get more data in.

The dataset including Hurricane Harvey will be internet_outage_adaptive_a29all-20170702 and will be released in October 2017. Until the full data is released, we have a preliminary dataset through August 2017 available on request.

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Publications Technical Report

new technical report “LDplayer: DNS Experimentation at Scale (abstract with poster)”

We released a new technical report “LDplayer: DNS Experimentation at Scale (abstract with poster)”, ISI-TR-721, available at https://www.isi.edu/publications/trpublic/pdfs/ISI-TR-721.pdf.

The poster abstract and poster (included as part of the technical report) appeared at the poster session at the SIGCOMM 2017 in August 2017 in Los Angeles, CA, USA.

From the abstract:

In the last 20 years the core of the Domain Name System (DNS) has improved in security and privacy, and DNS use broadened from name-to-address mapping to a critical roles in service discovery and anti-spam. However, protocol evolution and expansion of use has been slow because advances must consider a huge and diverse installed base. We suggest that experimentation at scale can fill this gap. To meet the need for experimentation at scale, this paper presents LDplayer, a configurable, general-purpose DNS testbed. LDplayer enables DNS experiments to scale in several dimensions: many zones, multiple levels of DNS hierarchy, high query rates, and diverse query sources. To meet these requirements while providing high fidelity experiments, LDplayer includes a distributed DNS query replay system and methods to rebuild the relevant DNS hierarchy from traces. We show that a single DNS server can correctly emulate multiple independent levels of the DNS hierarchy while providing correct responses as if they were independent. We show the importance of our system to evaluate pressing DNS design questions, using it to evaluate changes in DNSSEC key size.

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Presentations

new talk “Digging in to Ground Truth in Network Measurements” at the TMA PhD School 2017

John Heidemann gave the talk “Digging in to Ground Truth in Network Measurements” at the TMA PhD School 2017 in Dublin, Ireland on June 19, 2017.  Slides are available at https://www.isi.edu/~johnh/PAPERS/Heidemann17c.pdf.
From the abstract:

New network measurements are great–you can learn about the whole world! But new network measurements are horrible–are you sure you learn about the world, and not about bugs in your code or approach? New scientific approaches must be tested and ultimately calibrated against ground truth. Yet ground truth about the Internet can be quite difficult—often network operators themselves do not know all the details of their network. This talk will explore the role of ground truth in network measurement: getting it when you can, alternatives when it’s imperfect, and what we learn when none is available.

 

This talk builds on research over the last decade with many people, and the slides include some discussion from the TMA PhD school audience.

Travel to the TMA PhD school was supported by ACM, ISI, and the DHS Retro-Future Bridge and Outages project.

Update 2017-07-05: The TMA folks have posted video of this “Ground Truth” talk to YouTube if you want to relive the glory of a warm afternoon in Dublin.

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Publications Technical Report

new technical report “Verfploeter: Broad and Load-Aware Anycast Mapping”

We have released a new technical report “Verfploeter: Broad and Load-Aware Anycast Mapping”,by Wouter B. de Vries, Ricardo de O. Schmidt, Wes Haraker, John Heidemann, Pieter-Tjerk de Boer, and Aiko Pras as an ISI technical report ISI-TR-717.

Verfploeter coverage of B-Root. Circle radiuses are how many /24 blocks in each 2×2 degree region go to B-Root, and colored slices indicate which go to LAX and which to MIA. (Figure 2b from [Vries17a], dataset: SBV-5-15).
From the abstract:

IP anycast provides DNS operators and CDNs with automatic fail-over and reduced latency by breaking the Internet into catchments, each served by a different anycast site. Unfortunately, understanding and predicting changes to catchments as sites are added or removed has been challenging. Current tools such as RIPE Atlas or commercial equivalents map from thousands of vantage points (VPs), but their coverage can be inconsistent around the globe. This paper proposes Verfploeter, a new method that maps anycast catchments using active probing. Verfploeter provides around 3.8M virtual VPs, 430x the 9k physical VPs in RIPE Atlas, providing coverage of the vast majority of networks around the globe.  We then add load information from prior service logs to provide calibrated predictions of anycast changes. Verfploeter has been used to evaluate the new anycast for B-Root, and we also report its use of a 9-site anycast testbed. We show that the greater coverage made possible by Verfploeter’s active probing is necessary to see routing differences in regions that have sparse coverage from RIPE Atlas, like South America and China.

All datasets used in this paper (but one) are available at https://ant.isi.edu/datasets/anycast/index.html#verfploeter .

 

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Papers Publications

new conference paper “Does Anycast Hang up on You?” in TMA 2017

The paper “Does Anycast hang up on you?” will appear in the 2017 Conference on Network Traffic Measurement and Analysis (TMA) July 21-23, 2017 in Dublin, Ireland.

In each anycast-based DNS root service, there are about 1% VPs see a route flip happens every one or two observation during a week with an observation interval as 4 minutes. (Figure 2 from [Wei17b]).
From the abstract:

Anycast-based services today are widely used commercially, with several major providers serving thousands of important websites. However, to our knowledge, there has been only limited study of how often anycast fails because routing changes interrupt connections between users and their current anycast site. While the commercial success of anycast CDNs means anycast usually work well, do some users end up shut out of anycast? In this paper we examine data from more than 9000 geographically distributed vantage points (VPs) to 11 anycast services to evaluate this question. Our contribution is the analysis of this data to provide the first quantification of this problem, and to explore where and why it occurs. We see that about 1\% of VPs are anycast unstable, reaching a different anycast site frequently (sometimes every query). Flips back and forth between two sites in 10 seconds are observed in selected experiments for given service and VPs. Moreover, we show that anycast instability is persistent for some VPs—a few VPs never see a stable connections to certain anycast services during a week or even longer. The vast majority of VPs only saw unstable routing towards one or two services instead of instability with all services, suggesting the cause of the instability lies somewhere in the path to the anycast sites. Finally, we point out that for highly-unstable VPs, their probability to hit a given site is constant, which means the flipping are happening at a fine granularity—per packet level, suggesting load balancing might be the cause to anycast routing flipping. Our findings confirm the common wisdom that anycast almost always works well, but provide evidence that a small number of locations in the Internet where specific anycast services are never stable.

This paper is joint work of Lan Wei and John Heidemann.  A pre-print of paper is at http://ant.isi.edu/~johnh/PAPERS/Wei17b.pdf, and the datasets from the paper are at https://ant.isi.edu/datasets/anycast/index.html#stability.

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Papers Publications

new conference paper “Do You See Me Now? Sparsity in Passive Observations of Address Liveness” in TMA 2017

The paper “Do You See Me Now? Sparsity in Passive Observations of Address Liveness” will appear in the 2017 Conference on Network Traffic Measurement and Analyais (TMA) July 21-23, 2017 in Dublin, Ireland.   The datasets from the paper that we can make public will be at https://ant.isi.edu/datasets/sparsity/.

Visibility of addresses and blocks from possible /24 virtual monitors (Figure 2 from [Mirkovic17a])
From the abstract of the paper:

Accurate information about address and block usage in the Internet has many applications in planning address allocation, topology studies, and simulations. Prior studies used active probing, sometimes augmented with passive observation, to study macroscopic phenomena, such as the overall usage of the IPv4 address space. This paper instead studies the completeness of passive sources: how well they can observe microscopic phenomena such as address usage within a given network. We define sparsity as the limitation of a given monitor to see a target, and we quantify the effects of interest, temporal, and coverage sparsity. To study sparsity, we introduce inverted analysis, a novel approach that uses complete passive observations of a few end networks (three campus networks in our case) to infer what of these networks would be seen by millions of virtual monitors near their traffic’s destinations. Unsurprisingly, we find that monitors near popular content see many more targets and that visibility is strongly influenced by bipartite traffic between clients and servers. We are the first to quantify these effects and show their implications for the study of Internet liveness from passive observations. We find that visibility is heavy-tailed, with only 0.5% monitors seeing more than 10\% of our targets’ addresses, and is most affected by interest sparsity over temporal and coverage sparsity. Visibility is also strongly bipartite. Monitors of a different class than a target (e.g., a server monitor observing a client target) outperform monitors of the same class as a target in 82-99% of cases in our datasets. Finally, we find that adding active probing to passive observations greatly improves visibility of both server and client target addresses, but is not critical for visibility of target blocks. Our findings are valuable to understand limitations of existing measurement studies, and to develop methods to maximize microscopic completeness in future studies.