Archive for the 'Commentaries' Category

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

Wednesday, 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

AS Rank v2 (GraphQL)

Friday, 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": {
        ....
                    

Benin: Social media blocking and Internet blackout amid 2019 elections

Wednesday, 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.
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CAIDA’s Annual Report for 2018

Tuesday, 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:
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Technological Developments in Broadband Networking at March FTC Hearing

Saturday, 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

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

Wednesday, December 19th, 2018 by Roderick Fanou

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!

Wednesday, 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.

IPv6 adoption as seen from an Internet backbone link

Tuesday, May 29th, 2018 by Paul Hick

For the last ten years (with some gaps due to network upgrades), CAIDA has captured monthly traffic samples on Internet backbone links in several large U.S[ cities (San Jose, Chicago, and since March this year, New York City).
We publish statistics for these traces at http://www.caida.org/data/passive/trace_stats/, which illustrates the growth in IPv6 traffic, relative to IPv4. Over the 10-year period covered by our traffic captures, the increase follows a steady exponential trend (linear on a log-lin graph), increasing 10-fold every 3 years. Currently the IPv6 fraction hovers around 1%. Were this trend to continue, the ratios would be roughly 50% each around October 2022 (for packets) September 2023 (for bytes). The byte fraction increases more slowly, reflecting a slightly smaller average IPv6 packet size compared to IPv4.

IPv6 Traffic Seen on a Backbone Link

We are not making any predictions, and note that CGN deployment is also increasing rapidly. We are just reporting the best available data we have.

CAIDA’s Program Plan 2018-2023

Tuesday, May 29th, 2018 by kc

We finally published our new Program Plan for 2018-2023. (Previous program plans are at http://www.caida.org/home/about/progplan.) Executive summary below:

For the last 20 years UC San Diego’s Center for Applied Internet Data Analysis (CAIDA) has been developing data-focused services, products, tools and resources to advance the study of the Internet, which has permeated disciplines ranging from theoretical computer science to political science, from physics to tech law, and from network architecture to public policy. As the Internet and our dependence on it have grown, the structure and dynamics of the network, and how it relates to the political economy in which it is embedded, is gathering increasing attention by researchers, operators and policy makers, all of whom bring questions that they lack the capability to answer themselves. CAIDA has spent years cultivating relationships across disciplines (networking, security, economics, law, policy) with those interested in CAIDA data, but the impact thus far has been limited to a handful of researchers. The current mode of collaboration simply does not scale to the exploding interest in scientific study of the Internet.

On a more operational dimension, large-scale Internet cyber-attacks and incidents — route hijacking, network outages, fishing campaigns, botnet activities, large-scale bug exploitation, etc. — represent a major threat to public safety and to both public and private strategic and financial assets. Mitigation and recovery, as well as prevention of further attacks of similar nature, are often impeded by the fact that such events can remain unnoticed or are hard to understand and characterize. Because of their macroscopic nature, identifying such events and understanding their scope and dynamics requires: (a) combining data of different type and origin; and (b) teamwork of experts with varied background and skills; (c) agile tools for rapid, cooperative, interactive analysis.

These two infrastructure research challenges will require high performance research infrastructure, and CAIDA will embark on a new stage in our infrastructure development endeavors to support these challenges, re-using and sharing software and data components wherever possible. We will integrate existing as well as develop new measurement and analysis components and capabilities into interactive online platforms, accessible via web interfaces as well as APIs. These novel developments will enable researchers from various disciplines including non-networking experts to access and productively use Internet data, thus advancing more complex and visionary scientific studies of the Internet ecosystem. We hope these efforts will enable us and others to widen access to and utility of the best possible Internet measurement data available to research, operational, and policy communities worldwide.

On the research side, we will continue our Internet cartography efforts, improving our IPv4 and IPv6 topology mapping capabilities, and our ability to measure and analyze interdomain congestion. We will also continue development our of Internet Topology Data Kit (ITDK) data sets, but shift our focus to simplified versions of the data and visual interfaces that are easier for researchers to use. We will undertake a new project that studies topological weaknesses from a nation-state security and stability perspective. We will explore implications of these analysis for network resiliency, economics, and policy. Among our new collaborations is an interdisciplinary project to model and design an ecosystem for market-mediated software defined communications infrastructure at the wireless edge. And in the intersection between research and infrastructure, we will start a new research project that explores an ambitious new way of designing measurement infrastructure platforms to facilitate broader deployment and sharing of nodes across scientific experimenters.

As always, we will lead and participate in tool development to support measurement, analysis, indexing, and dissemination of data from operational global Internet infrastructure. Our outreach activities will include peer-reviewed papers, workshops, blogging, presentations, educational videos, and technical reports.

Note that not all of the activities described in this program plan are fully funded yet; we are seeking additional support to enable us to accomplish our ambitious agenda.


Complete program plan for 2018-2023 at: http://www.caida.org/home/about/progplan/progplan2018/.