AS Rank v2.1 Released (RESTFUL/Historical/Cone)

May 13th, 2020 by Bradley Huffaker
ASRankv2.1(GraphQL/RESTFUL)

Responding to feedback from our user community, CAIDA has released version 2.1 of the AS Rank API. This update helps to reduce some of the complexity of the full-featured GraphQL interface through a simplified RESTful API.

AS Rank API version 2.1 adds support for historical queries as well as support for AS Customer Cones, defined as the set of ASes an AS can reach using customer links. You can learn more about AS relationships, customer cones, and how CAIDA sources the data at https://asrank.caida.org/about.

You can find the documentation for AS Rank API version 2.1 here https://api.asrank.caida.org/v2/restful/docs.

You can find documentation detailing how to make use of historical data and customer cones here https://api.asrank.caida.org/v2/docs.

CAIDA Team

Effects of submarine cables deployment on Internet routing: CAIDA wins Best Paper at PAM 2020!

April 21st, 2020 by Roderick Fanou

Congratulations to Roderick Fanou, Bradley Huffaker, Ricky Mok, and kc claffy, for being awarded Best Paper at the Passive and Active Network Measurement Conference PAM 2020!

The abstract from the paper, “Unintended Consequences: Effects of submarine cables deployment on Internet routing“:

We use traceroute and BGP data from globally distributed Internet measurement infrastructures to study the impact of a noteworthy submarine cable launch connecting Africa to South America. We leverage archived data from RIPE Atlas and CAIDA Ark platforms, as well as custom measurements from strategic vantage points, to quantify the differences in end-to-end latency and path lengths before and after deployment of this new South-Atlantic cable. We find that ASes operating in South America significantly benefit from this new cable, with reduced latency to all measured African countries. More surprising is that end-to-end latency to/from some regions of the world, including intra-African paths towards Angola, increased after switching to the cable. We track these unintended consequences to suboptimally circuitous IP paths that traveled from Africa to Europe, possibly North America, and South America before traveling back to Africa over the cable. Although some suboptimalities are expected given the lack of peering among neighboring ASes in the developing world, we found two other causes: (i) problematic intra-domain routing within a single Angolese network, and (ii) suboptimal routing/traffic engineering by its BGP neighbors. After notifying the operating AS of our results, we found that most of these suboptimalities were subsequently resolved. We designed our method to generalize to the study of other cable deployments or outages and share our code to promote reproducibility and extension of our work

The study presents a reproducible method to investigate the impact of a cable deployment on the macroscopic Internet topology and end-to-end performance. We then applied our methodology to the case of SACS (South-Atlantic Cable System), the first South-Atlantic cable from South America to Africa, using historical traceroutes from both Archipelago (Ark) and RIPE Atlas measurement platforms, BGP data, etc.

Boxplots of minimum RTTs from Ark and Atlas Vantage Points to the common IP hops closest to the destination IPs. Sets BEFORE and AFTER correspond to periods pre and post-SACS deployment. We present ∆RTT (AFTER minus BEFORE) per sub-figure. RTT changes are similar across measurement platforms. Paths from South America experienced a median RTT decrease of 38%, those from Oceania-Australia a smaller decrease of 8%, while those from Africa and North America, roughly 3%. Conversely, paths from Europe and Asia that crossed SACS after its deployment experienced an average RTT increase of 40% and 9%, respectively.

As shown in the above figure, our findings included:

  • the median RTT decrease from Africa to Brazil was roughly a third of that from South America to Angola
  • surprising performance degradations to/from some regions worldwide, e.g., Asia and Europe.

We also offered suggestions for how to avoid suboptimal routing that gives rise to such performance degradations post-activation of cables in the future. They could:

  • Inform their BGP neighbours to allow time for changes
  • Ensure optimal iBGP configs post-activation
  • Use measurements platforms to verify path optimality

To enable reproducibility of this work, we made our tools and publicly accessible on GitHub.

Read the full paper on the CAIDA website or watch the PAM presentation video on YouTube.

AS Rank v2 (GraphQL)

August 30th, 2019 by Bradley Huffaker
ASRankv2(GraphQL)

The new AS Rank APIv2 is ready for use. This new version reflects a move from a RESTful (v1) API to a GraphQL (v2) API. This will allow clients to create queries that specify which values they require and contain multiple resources. GraphQL, as a strongly-typed language, allows clients to know what data is available, in what format, and verify responses.

The User Interface (UI) can be found at http://asrank.caida.org. The Application Programming Interface (APIv2) serves at https://api.asrank.caida.org/v2/graphql and GraphiQL interface can be found at https://api.asrank.caida.org/docs.

We will be operating AS Rank APIv1 (http://as-rank.caida.org/api/v1) until March 1st, 2020, but it will no longer be updated. Current users should migrate to the v2 API before this date. Contact asrank-info@caida.org for migration assistance.

For those unfamiliar with GraphQL, it is a bit of a paradigm shift from the use of a RESTful API, in that GraphQL requires the client to specify precisely which values it needs. In the following example, the client wants to know an ASN’s transit degree. With a normal RESTful API, the client must retrieve the full record and extract the information it wants. A GraphQL API client must specify that it wants the ASN’s transit degree.

GraphQL RESTFUL
# request ASN 3356's degree
query={
   asn(asn:"3356") {
      asnDegree {
         transit
      }
   }
}
        
data={
   "asn": {
      "asnDegree": {
         "transit": 5255
    }
}
# request ASN 3356's record
/asns/3356?populate=1
                
data={
“clique”: “true”,
“source”: “ARIN”,
“org”: {
“name”: “Level 3 Parent, LLC”,
“id”: “LPL-141-ARIN”
},
“cone”: {
“prefixes”: 516117,
“addresses”: 1293145968,
“asns”: 36019
},
“latitude”: “36.0978209554736”,
“rank”: “1”,
“country”: “US”,
“name”: “LEVEL3”,
“country_name”: “United States”,
“degree”: {
“peers”: 95,
“globals”: 5178,
“siblings”: 9,
“customers”: 5083,
“transits”: 5177
},
“longitude”: “-91.335620170744”,
“id”: “3356”
}

GraphQL supports mixed record queries. The same query can include different record types, and can specify bindings (“joins”) between those resources. This approach reduces the number of API queries needed to retrieve related resources.

GraphQL
mixed types mixed and joined types
# request ASN 3356's asnName and 
# organization LPL-141-ARIN's rank.

query={
   asn(asn:"3356") {
      asnName
      organization {
        orgId
      }
   }
   organization(orgId:"LPL-141-ARIN") {
      rank
   }
}
        
# request ASN 3356's asnName and 
# it's organization's rank.

query={
   asn(asn:"3356") {
      asnName
      organization {
         rank
      }
   }
}
        
data={
    "asn": {
      "asnName": "LEVEL3"
      "organization": {
         "orgId": "LPL-141-ARIN" 
      }
    },
    "organization": {
      "rank": 1,
    }
}
        
data={
    "asn": {
      "asnName": "LEVEL3",
      "organization": {
        "rank": 1
      }
    }
  }
}
        
RESTFUL
two separate queries
# request ASN 3356's record
/asns/3356?populate=1
                 
data={
  "name": "LEVEL3",
  "org": {
    "id": "LPL-141-ARIN",
    "name": "Level 3 Parent, LLC"
  },
  "clique": "true",
  "source": "ARIN",
  "cone": {
     ...                
# request Org LPL-141-ARIN’s record
/orgs/LPL-141-ARIN?populate=1
data={
    "name": "Level 3 Parent, LLC",
    "rank": "1",
    "degree": {
      "asn": {
        "transit": 6999,
        "global": 7024
      },
      "org": {
        ....
                    

CAIDA PhD student receives Microsoft Dissertation Grant for “Inferring Country-Level Transit Influence of Autonomous Systems”

August 7th, 2019 by Alberto Dainotti

CAIDA intern Alex Gamero-Garrido, a PhD student in Computer Science and Engineering at UC San Diego, was selected as one of eleven recipients of the 2019 Microsoft Research Dissertation Grants. Each dissertation grant provides funding to doctoral students at North American universities who are underrepresented in the field of computing. This is the third year Microsoft Research has offered these research grants. Microsoft Research scientists with expertise in the students’ topic areas reviewed the more than 200 proposals submitted and identified students pursuing technically excellent and societally impactful research.

Alex Gamero-Garrido’s dissertation, “Inferring Country-Level Transit Influence of Autonomous Systems” may be of interest to networking and cybersecurity researchers, policy makers and operators:

Our work explores the country-level influence exerted by transit providers, a set of networking organizations that often have less direct contact with users, but who are nonetheless responsible for delivering an important fraction of transnational traffic into and out of many countries, and who may have the capability to observe, manipulate, or disrupt some of that traffic. For instance, an accidental misconfiguration or a state-ordered disconnection implemented by one of these operators may render popular services delivered on the Internet (such as email or social media) unreachable in entire regions. These concerns are not abstract, as previous instances of state-ordered disconnections have propagated to other countries and temporarily disabled some of the world’s most popular services there. By studying the ways in which these operators (Autonomous Systems) connect to one another and to the rest of the Internet, we aim to highlight each country’s relative risk exposure.

Congratulations, Alex G!

Originally announced on the Microsoft Research Blog.

Benin: Social media blocking and Internet blackout amid 2019 elections

May 8th, 2019 by Roderick Fanou

In late April 2019, social media was reportedly blocked and access to the Internet was shutdown in Benin during its 2019 parliamentary elections.

In this report, the Open Observatory of Network Interference (OONI) and the Center for Applied Internet Data Analysis (CAIDA) teams share OONI, IODA, and RIPE Atlas network measurement data that corroborate and provide insight into these recent censorship events in Benin.
Read the rest of this entry »

CAIDA’s Annual Report for 2018

May 7th, 2019 by kc

The CAIDA annual report summarizes CAIDA’s activities for 2018, in the areas of research, infrastructure, data collection and analysis. Our research projects span Internet topology, routing, security, economics, future Internet architectures, and policy. Our infrastructure, software development, and data sharing activities support measurement-based internet research, both at CAIDA and around the world, with focus on the health and integrity of the global Internet ecosystem. The executive summary is excerpted below:
Read the rest of this entry »

Technological Developments in Broadband Networking at March FTC Hearing

May 4th, 2019 by kc

(Forgot to post this earlier, this is old news by now but fwiw..)
I presented at the 10th FTC Hearing on Competition and Consumer Protection in the 21st century this March, held in Washington D.C., giving a talk about Technological Developments in Broadband Networking which aims to address this question: Which (recent and expected) technological developments, or lack thereof, are important for understanding the competitiveness of the industry or impacts on the public interest?

A webcast of the presentation (my talk begins at 10m30s) is available. I also participated in a discussion panel, also webcast.

9th Workshop on Internet Economics

January 29th, 2019 by kc

On December 12-13, 2018, CAIDA and the Massachusetts Institute of Technology (MIT) hosted the (invitation-only) 9th interdisciplinary Workshop on Internet Economics (WIE) at the University of California San Diego in La Jolla, CA.

The goal of this workshop series is to provide a forum for researchers, commercial Internet facilities and service providers, technologists, economists, theorists, policy makers, and other stakeholders to empirically inform emerging Internet regulatory and policy debates.

Presenters were asked to write talk abstracts on their presented topics, addressing four questions:

  1. What is the policy goal or fear you’re addressing?
  2. What data is needed to measure progress toward/away from this goal fear?
  3. What methods do you propose (or are) being used to gather such data?
  4. Who/how should such methods be executed, and the data shared, or not shared?

With a specific focus on measurement challenges, the topics we discussed included: analyzing the evolution of the Internet in a layered-platform context to gain new insights; measurement and analysis of economic impacts of new technologies using old tools; security and trustworthiness, reach (universal service) and reachability, sustainability of investment into public Internet infrastructure, as well as infrastructure to measure the public Internet.

Some of the takeaways from the workshop included:
Read the rest of this entry »

Announcing public access to CAIDA’s platform for Measurement and Analysis of Interdomain Congestion (MANIC)

December 19th, 2018 by Roderick Fanou, Amogh Dhamdhere and kc

Presented at our 10th AIMS Workshop earlier this year, the MANIC project resulted in a prototype system to monitor interdomain links and their congestion state to support inference of persistent interdomain congestion. We announce the release of web and API-based methods to access the data. MANIC provides both a graphical user interface for conducting queries and visualizing results and programmatic access to the measurements via a queryable API. We used this MANIC infrastructure and data in our recent publication of “Inferring Persistent Interdomain Congestion”, which won the best paper award at ACM SIGCOMM 2018.

                                                       MANIC dashboard screenshot examples.

Excerpted from the paper:

“(4) We are publicly releasing our analysis scripts, and the underlying datasets via an interactive visualization interface and query API to encourage reproducibility of our results. Our data management system, based on the InfluxDB time-series database and Grafana visualization front-end, allows interactive data exploration, near real-time views of interdomain links, and longitudinal views. While this paper focuses on data from U.S. broadband access providers, we are publicly releasing measurements from VPs outside the U.S. as well.”

For access to the MANIC dashboard, or questions about the publicly accessible API, please contact manic-info@caida.org. (It is a beta prototype, in progress!)

 

Support for this work is provided by the National Science Foundation (NSF) grants NSF CNS-1414177, NSF OAC-1724853, NSF CNS-1513283, and Department of Homeland Security S&T HHSP 233201600012C and FA8750-18-2-0049.

 

CAIDA wins Best Paper at ACM SIGCOMM 2018!

August 22nd, 2018 by CAIDA Webmaster

Congratulations to Amogh Dhamdhere, David Clark, Alexander Gamero-Garrido, Matthew Luckie, Ricky K.P. Mok, Gautam Akiwate, Kabir Gogia, Vaibhav Bajpai, Alex Snoeren, and kc claffy, for being awarded Best Paper at SIGCOMM 2018!

The abstract from the paper, “Inferring Persistent Interdomain Congestion“:

There is significant interest in the technical and policy communities regarding the extent,scope, and consumer harm of persistent interdomain congestion. We provide empirical grounding for discussions of interdomain congestion by developing a system and method to measure congestion on thousands of interdomain links without direct access to them. We implement a system based on the Time Series Latency Probes (TSLP) technique that identifies links with evidence of recurring congestion suggestive of an under-provisioned link. We deploy our system at 86 vantage points worldwide and show that congestion inferred using our lightweight TSLP method correlates with other metrics of interconnection performance impairment. We use our method to study interdomain links of eight large U.S. broadband access providers from March 2016 to December 2017, and validate our inferences against ground-truth traffic statistics from two of the providers. For the period of time over which we gathered measurements, we did not find evidence of widespread endemic congestion on interdomain links between access ISPs and directly connected transit and content providers, although some such links exhibited recurring congestion patterns. We describe limitations, open challenges, and a path toward the use of this method for large-scale third-party monitoring of the Internet interconnection ecosystem.

Read the full paper on the CAIDA website.