pimawat – ANT Research News

Our new paper “Anycast Polarization in The Wild” will appear at the 2024 Conference on Passive and Active Measurements (PAM 2024).

From the abstract:

The left figure shows the impacts of polarization. The Dallas, USA site for a CDN is receiving traffic from all over the world due to polarization. The red dots indicate high latency from Europe and Asia, even if Europe and India have anycast sites in their continent. We show this type of polarization is not uncommon. The right figure shows how a change in the routing configuration can improve the polarization problem. We can see almost no red dots from Europe and Asia continents.

IP anycast is a commonly used method to associate users with services provided across multiple sites, and if properly used, it can provide efficient access with low latency. However, prior work has shown that polarization can occur in global anycast services, where some users of that service are routed to an anycast site on another continent, adding 100 ms or more latency compared to a nearby site. This paper describes the causes of polarization in real-world anycast and shows how to observe polarization in third-party anycast services. We use these methods to look for polarization and its causes in 7986 known anycast prefixes. We find that polarization occurs in more than a quarter of anycast prefixes, and identify incomplete connectivity to Tier-1 transit providers and route leakage by regional ISPs as common problems. Finally, working with a commercial CDN, we show how small routing changes can often address polarization, improving latency for 40% of clients, by up to 54%.

This paper is a joint work by ASM Rizvi from USC/ISI and Akamai Technologies, Tingshan Huang from Akamai Technologies, Rasit Esrefoglu from Akamai Technologies, and John Heidemann from USC/ISI. ASM Rizvi and John Heidemann’s work was partially supported by DARPA under Contract No. HR001120C0157. John Heidemann’s work was also partially supported by the NFS projects CNS-2319409, CRI-8115780, and CNS-1925737. ASM Rizvi’s work was begun while on an internship at Akamai.

Our new paper “Deep Dive into NTP Pool’s Popularity and Mapping” will appear in the SIGMETRICS 2024 conference and concurrently in the ACM Proceedings of the ACM on Measurement and Analysis of Computing Systems, vol. 8, no. 1, March 2024.

From the abstract:

Time synchronization is of paramount importance on the Internet, with the Network Time Protocol (NTP) serving as the primary synchronization protocol. The NTP Pool, a volunteer-driven initiative launched two decades ago, facilitates connections between clients and NTP servers. Our analysis of root DNS queries reveals that the NTP Pool has consistently been the most popular time service. We further investigate the DNS component (GeoDNS) of the NTP Pool, which is responsible for mapping clients to servers. Our findings indicate that the current algorithm is heavily skewed, leading to the emergence of time monopolies for entire countries. For instance, clients in the US are served by 551 NTP servers, while clients in Cameroon and Nigeria are served by only one and two servers, respectively, out of the 4k+ servers available in the NTP Pool. We examine the underlying assumption behind GeoDNS for these mappings and discover that time servers located far away can still provide accurate clock time information to clients. We have shared our findings with the NTP Pool operators, who acknowledge them and plan to revise their algorithm to enhance security.

This paper is a joint work of

Giovane C. M. Moura^1,2, Marco Davids¹, Caspar Schutijser¹, Christian Hesselman^1,3, John Heidemann^4,5, and Georgios Smaragdakis² with 1: SIDN Labs, 2 Technical University, Delft, 3: the University of Twente, 4: the University of Southern California/Information Sciences Institute, 5: USC/Computer Science Dept. This work was supported by the RIPE NCC (via Atlas), the Root Operators and DNS-OARC (for DITL), SIDN Labs time.nl project, the Twente University Centre for Cyber Security Resarch, NSF projects CNS-2212480, CNS-2319409, the European Research Council ResolutioNet (679158), Duth 6G Future Network Services project, the EU programme Horizon Europe grants SEPTON (101094901), MLSysOps (101092912), and TANGO (101070052).