Project presentation at the second APNIC Hackathon in Daejeon, South Korea on 22-24 February, 2019.

1. [APRICOT 2019]
Outage Correlation
Vladimir, Boldbayar, Hyungjin

2. Our goals
● Find outages
● Find relationship between the outages
● Find anomalies that may have caused the outages (physical or logical)

3. Data Set
● Select Africa on 5 continents (The most outage appear, 27 of the 57 countries that can collect data)
● Select west part of Asia (close to Africa)
● Select small part of Europe (close to Africa)
● Resolution is 8 hours
● 2014.01.01 ~ 2019.01.01 (5 years)

4. reddit

5. RIPE API
stat.ripe.net

6. Challenges
● Programming language : Python, Javascript
● Data manipulation
● Communication
● Data accuracy

7. Outages in Africa
● ASs status of Africa
● During 5 years
● Can get 4 point that
have outage sametime
○ 2014-02-03 ~ 2014-03-01
○ 2014-06-05 ~ 2014-06-06
○ 2015-09-04 ~ 2015-09-05
○ 2015-12-16 ~ 2015-12-17

8. Africa AS network
● Can find connection status in Africa
● At the same time, a outage confirms the
connection status

9. Outages in Asia
● ASs status of Asia
● During 5 years
● Can get 4 point that
have outage sametime
○ 2014-02-03 ~ 2014-03-01
○ 2014-06-05 ~ 2014-06-06
○ 2015-09-04 ~ 2015-09-05
○ 2015-12-16 ~ 2015-12-17

10. Outages in
small part of
Europe

11. Conclusion
● We are able to graphically combine the outage reports for different ASN.
● We are able to group the ASN based on their Regions.
● We are able to present the BGP outages that occurs to different ASN at the same time.
● We can assume that BGP outages of different ASN show their dependency with each other.

12. Recommendations
● Interactive
○ Clickable
○ Checkbox for overlay to other Region, ASN, ISP, etc.
● Better interface
○ Informative
○ Per-Country Analyses
○ Comparison between ISPs

13. Q & A
[Github]
https://github.com/HyungJiny/outage_correlation_APRICOT2019